Python Developer Jobs - Abu Dhabi UAE
81 Jobs Found
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><p><strong>Job Summary</strong></p><p>We are looking for an energetic and passionate <strong>STEM & Robotics Trainer</strong> to deliver practical technology programs for students aged 6 to 16.</p><p>The trainer will deliver engaging sessions in Robotics, Coding, AI basics, and Engineering concepts through project-based learning.</p><p>This role is ideal for candidates who enjoy working with children and want to build future innovators.</p><br><p><strong>Key Responsibilities</strong></p><p><strong>Program Delivery</strong></p><ul><li><p>Conduct Robotics, Coding, and STEM classes for students.</p></li><li><p>Teach using hands-on learning and practical projects.</p></li><li><p>Deliver sessions in:</p><ul><li><p>Robotics & Automation</p></li><li><p>Coding (Scratch / Python / Block Coding)</p></li><li><p>AI & Computational Thinking (basic level)</p></li><li><p>Electronics & Arduino</p></li><li><p>Engineering & Innovation Projects</p></li></ul></li><li><p>Adapt lessons to students' ages and learning levels.</p></li><li><p>Maintain an engaging and positive classroom environment.</p></li></ul><br><p><strong>Student Development</strong></p><ul><li><p>Encourage creativity, logical thinking, and problem-solving.</p></li><li><p>Support students in competitions, exhibitions, and projects.</p></li><li><p>Identify advanced learners and guide them further.</p></li><li><p>Build students' confidence and presentation skills.</p></li></ul><br><p><strong>Lab & Classroom Management</strong></p><ul><li><p>Prepare robotics kits and learning materials before sessions.</p></li><li><p>Maintain equipment, inventory, and safety standards.</p></li><li><p>Ensure devices and learning tools are handled properly.</p></li><li><p>Keep classrooms organized and ready for training.</p></li></ul><br><p><strong>Coordination & Reporting</strong></p><ul><li><p>Maintain student attendance and progress records.</p></li><li><p>Share regular feedback with the Academic Coordinator.</p></li><li><p>Support demo classes, workshops, and events.</p></li><li><p>Participate in camps, school programs, and exhibitions.</p></li></ul><br></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p><strong>Required Qualifications</strong></p><ul><li><p>Bachelor's Degree or Diploma in:</p><ul><li><p>Engineering / Computer Science / IT / Electronics<br><strong>OR</strong></p></li></ul></li><li><p>Relevant certification in Robotics / STEM / Coding.</p></li></ul><br><p><strong>Experience</strong></p><ul><li><p>2-5 years of experience in teaching or training students preferred.</p></li><li><p>Freshers with strong practical robotics/coding skills may apply.</p></li></ul><br><p><strong>Required Skills</strong></p><ul><li><p>Knowledge of Robotics kits, Arduino, or STEM tools.</p></li><li><p>Ability to explain concepts in simple English.</p></li><li><p>Good classroom management skills.</p></li><li><p>Passion for teaching children.</p></li><li><p>Organized and responsible attitude.</p></li></ul><br><p><strong>Preferred</strong></p><ul><li><p>Experience in LEGO Robotics / Micro: bit / AI tools.</p></li><li><p>Experience in UAE training institutes or schools.</p></li><li><p>Interest in upgrading skills in AI, Automation, and Future Technologies.</p></li></ul><br><p><strong>Working Environment</strong></p><ul><li><p>After-school training institute environment.</p></li><li><p>Weekday and weekend classes are scheduled.</p></li><li><p>Friendly, growth-focused academic team.</p></li></ul><br><p></p></section>
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><ul><li>Design, build, and maintain scalable and resilient microservices infrastructure, focusing on automation and self-healing capabilities.</li><li>Implement and manage CI/CD pipelines for microservices, ensuring rapid and reliable deployments with robust rollback strategies.</li><li>Proactively monitor microservices health, performance, and security, establishing SLOs/SLIs and implementing effective alerting mechanisms.</li><li>Develop and maintain comprehensive disaster recovery and business continuity plans for critical microservices applications.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li><p>5+ years of experience in SRE or DevOps roles, building and managing large-scale, high-availability systems across banking, fintech, e-commerce, or other data-intensive digital ecosystems.</p></li><li><p>Bachelor’s degree in Computer Science or equivalent technical experience.</p></li><li><p>Strong experience with Linux environments and performance troubleshooting.</p></li><li><p>Proven expertise in Terraform and Infrastructure as Code (IaC) methodologies.</p></li><li><p>Proficiency with Kubernetes and container orchestration in microservices environments.</p></li><li><p>Hands-on experience with AWS (preferred); exposure to Azure or GCP is an advantage.</p></li><li><p>Deep knowledge of Dynatrace (AIOps, Davis AI), Prometheus, Grafana, and the ELK stack.</p></li><li><p>Experience implementing AI / ML-driven reliability or automation solutions (AIOps, anomaly detection, predictive alerting).</p></li><li><p>Practical understanding of CI / CD pipelines (GitHub Actions, Jenkins, GitLab CI / CD or Azure DevOps).</p></li><li><p>Experience with Kafka, RabbitMQ, Redis, Aurora, and RDS databases.</p></li><li><p>Strong scripting or programming skills in Python, Bash, or Go. The Ideal Candidate</p></li><li><p>Organized, structured, and meticulous in approach.</p></li><li><p>Experienced in cross-functional collaboration and working with distributed teams.</p></li><li><p>Strong analytical mindset with excellent troubleshooting skills for complex production systems.</p></li><li><p>Calm and composed communicator under pressure, capable of leading during high-impact incidents.</p></li><li><p>Proactive problem-solver who anticipates issues and drives preventive improvements.</p></li><li><p>Passionate about AI-driven automation, observability, and reliability engineering.</p></li><li><p>Continuously learning, keeping up-to-date with cloud-native, microservices, and SRE best practices.</p></li><li><p>A collaborative and adaptable team player who thrives in a fast-paced, regulated environment and is passionate about building reliable, scalable systems that empower digital banking innovation.</p></li></ul><p></p></section>
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><br><ol><li><p>Key Responsibilities</p></li></ol><p>2.1 Database Administration</p><ul><li><p>Install, configure, patch, upgrade, and administer Oracle (including Multitenant, RAC, Data Guard, ASM), MS SQL (Always-on), MongoDB, PostgreSQL and MySQL (InnoDB Cluster & ClusterSet) database environments in production, staging, and development.</p></li><li><p>Design and implement high-availability (HA) and disaster recovery (DR) architectures including Oracle RAC, Oracle Data Guard, GoldenGate replication, MS SQL (Always-on) , PostgreSQL replication, MongoDB replica sets / sharded clusters and MySQL InnoDB Cluster.</p></li><li><p>Perform logical and physical backup and recovery operations using RMAN, Data Pump, mongodump/mongorestore, mysqldump, and pg_dump, and validate recovery procedures on a regular schedule.</p></li><li><p>Conduct performance tuning and troubleshooting at all levels including SQL/query optimization, indexing strategies, storage I/O, memory, network, and OS-level diagnostics.</p></li><li><p>Plan and execute large-scale database upgrades, migrations, and cross-platform conversions with minimal downtime.</p></li><li><p>Implement and enforce database security: user management, role-based access control, auditing, TDE encryption, data masking, and compliance with organizational and regulatory standards.</p></li><li><p>Develop and maintain automation scripts (Shell, Python, PL/SQL) for routine database operations, monitoring, and housekeeping tasks.</p></li></ul><p>2.2 Middleware Administration</p><ul><li><p>Install, configure, and administer Oracle WebLogic Server including domain creation, managed servers, clustering, load balancing, and JVM tuning.</p></li><li><p>Administer Oracle SOA Suite and Oracle Service Bus (OSB) including composite deployment, troubleshooting, dehydration store management, and integration support.</p></li><li><p>Manage Oracle Business Intelligence Enterprise Edition (OBIEE) 12c and Oracle Analytics Server (OAS): installation, configuration, RPD deployment, security, and performance optimization.</p></li><li><p>Install, configure, and support Oracle Data Integrator (ODI) for ETL workloads, including agent management, repository administration, and scenario execution.</p></li><li><p>Deploy and manage Oracle Forms & Reports and other Java-based applications on WebLogic.</p></li><li><p>Apply patches, security updates, and CPU/PSU bundles to all middleware components in line with vendor recommendations and change-management processes.</p></li><li><p>Install, configure, and administer Apache products (Kafka, Spark, Tomcat) including clustering, load balancing, and JVM tuning.</p></li></ul><p>2.3 Operating System & Infrastructure</p><ul><li><p>Strong working knowledge of Linux/Unix (Oracle Linux, RHEL, CentOS) and Windows Server environments hosting database and middleware workloads.</p></li><li><p>Proficiency in bash and PowerShell scripting for automation, monitoring, log analysis, and routine maintenance.</p></li><li><p>Solid understanding of storage (NFS, ASM, SAN), networking, kernel parameters, file systems, and OS-level security hardening concepts.</p></li><li><p>Familiarity with capacity planning, server provisioning, and OS-level upgrades, with the ability to coordinate effectively with infrastructure and virtualization teams.</p></li><li><p>Hands-on experience working with containerized environments, including Docker (and exposure to Kubernetes / OpenShift is a plus) for deploying, running, and managing database and middleware workloads.</p></li></ul><p>2.4 Monitoring, Operations & Support</p><ul><li><p>Implement and maintain proactive monitoring frameworks using Oracle Enterprise Manager (OEM Cloud Control), Grafana, Prometheus, or equivalent tools.</p></li><li><p>Respond to production incidents, perform root-cause analysis (RCA), and deliver post-incident reports with corrective and preventive actions.</p></li><li><p>Serve as the primary technical contact for database and middleware vendors, coordinating SLAs, escalations, support tickets, and product renewals.</p></li><li><p>Maintain detailed technical documentation, runbooks, architecture diagrams, and standard operating procedures (SOPs).</p></li><li><p>Provide 24/7 on-call support on a rotational basis for critical production systems.</p></li><li><p>Collaborate with application, security, DevOps, and infrastructure teams to align database and middleware operations with organizational standards and regulatory requirements.</p></li></ul><br><br></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"><br></p><ol><li><p>Required Qualifications & Experience</p></li></ol><p>3.1 Education</p><ul><li><p>Bachelor’s degree in computer science, Computer Information Systems, Information Technology, or a related discipline.</p></li></ul><p>3.2 Experience</p><ul><li><p>Minimum 5+ years of hands-on experience as a Database Administrator, Middleware Administrator, or in a combined DBA/Middleware role within an enterprise environment.</p></li><li><p>Proven experience administering Oracle Database (12c/19c/21c) in production, including RAC, Data Guard, GoldenGate, and Multitenant architectures.</p></li><li><p>Demonstrable experience with MongoDB, MySQL, and PostgreSQL in HA / clustered configurations.</p></li><li><p>Proven experience administering Oracle Fusion Middleware components: WebLogic, SOA Suite, OSB, OBIEE / OAS, and ODI.</p></li><li><p>Solid experience operating in Linux/Unix and Windows Server environments.</p></li><li><p>Experience supporting mission-critical, 24/7 production systems, ideally within government, telecom, banking, or large enterprise sectors.</p></li></ul><p>3.3 Technical Skills</p><ul><li><p>Databases: Oracle 12c/19c/21c, MongoDB, MySQL 8.0, PostgreSQL, MS SQL Server (a plus), Redis (a plus).</p></li><li><p>HA / DR: Oracle RAC, Data Guard, GoldenGate, ASM, MySQL InnoDB Cluster / ClusterSet, MongoDB Replica Sets & Sharding.</p></li><li><p>Middleware: Oracle WebLogic 12c/14c, SOA Suite, OSB, OBIEE 12c, OAS, ODI, Forms & Reports.</p></li><li><p>Tools: Oracle Enterprise Manager (OEM), TOAD, SQL Developer, RMAN, Data Pump, Compass, MongoDB Atlas.</p></li><li><p>Operating Systems: Oracle Linux, RHEL, CentOS, Ubuntu, Windows Server.</p></li><li><p>Scripting: Shell / Bash, PL/SQL, Python, PowerShell.</p></li><li><p>Backup & Recovery: RMAN, Data Pump, mongodump, mysqldump, pg_dump, third-party backup solutions.</p></li><li><p>Containerization: Docker (required); Kubernetes / OpenShift (a plus).</p></li></ul><p>3.4 Preferred Certifications</p><ul><li><p>Oracle Database Administrator Certified Professional (OCP) – 19c or higher.</p></li><li><p>Oracle WebLogic Server Administrator Certified Associate / Professional.</p></li><li><p>Oracle MySQL Database Administrator Certified Professional.</p></li><li><p>MongoDB Certified DBA Associate.</p></li><li><p>Oracle Autonomous Database Cloud Specialist (a plus).</p></li><li><p>Professional Scrum Master (PSM I) or equivalent Agile certification (a plus).</p></li></ul><p>3.5 Soft Skills & Competencies</p><ul><li><p>Strong analytical and problem-solving skills with attention to detail.</p></li><li><p>Excellent verbal and written communication skills in English (Arabic is a plus).</p></li><li><p>Ability to work independently as well as collaboratively in cross-functional teams.</p></li><li><p>Strong ownership mindset, proactive attitude, and ability to manage multiple priorities under pressure.</p></li><li><p>Customer-focused approach with experience working directly with internal and external stakeholders.</p></li><li><p>Commitment to continuous learning and staying current with emerging database and middleware technologies.</p></li></ul><p></p></section>
<ul><li><p>Partner with development teams to ensure stable and secure software and systems operations.</p></li><li><p>Design, implement, and maintain robust CI/CD pipelines for backend, frontend, and mobile applications (Android, iOS, Huawei).</p></li><li><p>Build and manage end-to-end cloud solutions, including backup, disaster recovery, monitoring, and documentation.</p></li><li><p>Oversee production and non-production cloud environments.</p></li><li><p>Develop monitoring systems and custom dashboards capturing key platform metrics.</p></li><li><p>Automate and refine development, testing, and deployment workflows.</p></li><li><p>Monitor system health and remediate issues proactively.</p></li><li><p>Enhance and maintain Infrastructure as Code (IaC) practices.</p></li><li><p>Manage cloud infrastructure on platforms like AWS and Azure.</p></li><li><p>Optimize infrastructure for security, scalability, performance, and cost efficiency.</p></li><li><p>Contribute to and enhance internal open-source tools and automation frameworks.</p></li><li><p>Stay current with DevSecOps trends, cloud security advancements, and emerging best practices.</p></li><li><p>Implement and maintain mobile CI/CD processes including build automation, code signing, secure certificate/profile management, and publishing to app stores.</p></li><li><p>Utilize tools like Fastlane, Gradle, Xcode tools, or similar to automate mobile build and deployment workflows for the Google Play Store, Apple App Store, and Huawei AppGallery.</p></li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li><p>Demonstrated experience designing and supporting scalable, highly available systems.</p></li><li><p>Strong problem-solving ability and adaptability to new challenges and technologies.</p></li><li><p>Deep expertise in CI/CD tools and compliance processes (e.g., approvals, attestations, code signing).</p></li><li><p>Experience building pipelines for diverse platforms including:</p></li><li><p>Kubernetes</p></li><li><p>API Gateways</p></li><li><p>Databases</p></li><li><p>Android, iOS, and Huawei mobile applications</p></li><li><p>Web applications</p></li><li><p>Advanced knowledge of Kubernetes and core containerization technologies (containerization, networking, cgroups).</p></li><li><p>Proficiency in scripting (e.g., Bash) and at least one programming language (Python, Go, Java, Kotlin, C++, JavaScript, etc.).</p></li><li><p>Solid understanding of networking protocols (IP, TCP, UDP, HTTP, IPSec).</p></li><li><p>Strong grasp of DevSecOps practices, security principles, and cryptographic standards (AES, RSA, DH, TLS).</p></li><li><p>Expertise with Git and Infrastructure as Code tools (e.g., Terraform).</p></li><li><p>Hands-on experience with cloud platforms (AWS, Azure).</p></li><li><p>Skilled in implementing and managing observability solutions (metrics, logs, traces).</p></li><li><p>Hands-on experience with Fastlane or equivalent tools used for mobile build automation, app signing, provisioning profiles, certificate management, and automated publishing.</p></li><li><p>Experience working with Google Play Console, Apple App Store Connect, and Huawei AppGallery for automated application release cycles.</p></li></ul><br><p>Education</p><ul><li><p>Bachelor’s or Master’s degree in Computer Science, Information Technology, Engineering, or a related technical field, or equivalent practical experience.</p></li></ul>
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><p><strong>Hands-On Engineering</strong></p><ul><li><p>Code alongside squads: DDD (Bounded Contexts, Aggregates, Domain Events), Hexagonal Architecture, SOLID, TDD</p></li><li><p>Ensure Twelve-Factor App compliance for all cloud-native services</p></li></ul><p><strong>Software Factory & CI/CD</strong></p><ul><li><p>Define and enforce CI/CD pipelines, code review standards, trunk-based branching, static analysis (SonarQube), and API standards</p></li><li><p>Establish observability patterns: structured logging, distributed tracing, correlation IDs</p></li></ul><p><strong>Cloud Adoption</strong></p><ul><li><p>Drive cloud-native design patterns across squads: microservices, serverless, event-driven, container orchestration on AWS (primary) and Azure</p></li><li><p>Enforce infrastructure-as-code (Terraform), cloud security best practices (IAM, secrets management, network segmentation), and cost-aware architecture</p></li></ul><p><strong>Reusable Building Blocks</strong></p><ul><li><p>Design and code shared libraries, starter kits, and project archetypes embedding all best practices</p></li></ul><p><strong>Feature Team Enablement</strong></p><ul><li><p>Pair-program, conduct code reviews, run workshops on DDD / TDD / SOLID / Hexagonal / Twelve-Factor</p></li><li><p>Mentor developers to elevate overall engineering maturity</p></li></ul><p><strong>Developer Community</strong></p><ul><li><p>Animate Community of Practice: tech talks, coding dojos, hackathons</p></li><li><p>Maintain an engineering playbook with patterns, anti-patterns, and reference implementations</p></li></ul><p><strong> </strong></p><p><strong>Expected Deliverables</strong></p><ul><li><p>Engineering Playbook (DDD, TDD, SOLID, Hexagonal, Twelve-Factor, CI/CD, API standards)</p></li><li><p>Reusable building blocks, starter kits, and project archetypes</p></li><li><p>CI/CD pipeline templates for all service types</p></li><li><p>Architecture Decision Records (ADRs)</p></li><li><p>Monthly code quality and CoP activity reports</p></li><li><p>Technical debt register</p></li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p><strong>Technical — Must-Have</strong></p><ul><li><p>10+ years hands-on software development, building solutions from scratch</p></li><li><p>Expert in Java (Spring Boot), C# (.NET Core), Python, or Kotlin</p></li><li><p>Deep DDD, TDD/BDD, SOLID, Hexagonal / Clean Architecture, Twelve-Factor App</p></li><li><p>CI/CD tooling (Git, GitLab CI/CD); Docker, Kubernetes; Terraform / IaC</p></li><li><p>Cloud: AWS (EKS, MSK, Lambda, S3, RDS, IAM, CloudFormation, API Gateway, SQS/SNS); Azure (AKS, DevOps, Service Bus, Key Vault).</p></li><li><p>Event-driven architectures (Kafka, SQS/Service Bus/IBM MQ); API design (REST, gRPC, OpenAPI)</p></li><li><p>Security-by-design, observability, and code quality tooling (SonarQube, SAST/DAST)</p></li></ul><p><strong>Domain — Strongly Preferred</strong></p><ul><li><p>Capital Markets / Investment Banking: trade lifecycle, pricing, risk, market data</p></li><li><p>Corporate finance and securities services</p></li></ul><p><strong>Soft Skills</strong></p><ul><li><p>Influences through craft, not authority; proven mentor and community builder</p></li><li><p>Pragmatic: balances engineering excellence with delivery pressure</p></li><li><p>Strong technical writing: ADRs, playbooks, engineering guides</p></li></ul><p><strong>Education</strong></p><p>Bachelor’s degree in computer science or related field. Certifications are a plus but not a substitute for hands-on craft.</p><p></p></section>
<p>• Translate application storyboards and use cases into functional applications</p><p>• Design, build, and maintain efficient, reusable, and reliable Java code</p><p>• Ensure the best possible performance, quality, and responsiveness of the applications</p><p>• Identify bottlenecks and bugs, and devise solutions to these problems</p><p>• Help maintain code quality, organization, and automation</p><p>• Manage the team and successfully deliver the project</p><p>• Coordinate across back-end services and client-end (desktop and mobile) application layers</p><p>• Work closely with the product owner and enterprise architects to influence and prioritize technical backlog items</p><p>• Proactively discover technical debt and continuous improvement opportunities in existing live systems</p><p>• Deliver architectures for large-scale software solutions meeting critical business purposes</p><p><strong>Desired Candidate Profile</strong></p><p>• Senior professional with 10-12 years of experience</p><p>• Working experience in an agile software development environment with a good understanding of agile architecture principles</p><p>• Strong technical skills with deep understanding of modern architectural styles: Microservices, Containers, Cloud (AWS, Azure), APIs, Continuous Delivery, Event-driven architecture, Evolutionary architecture</p><p>• Strong foundation in software architecture concepts, patterns, principles, and quality attributes</p><p>• Proven leadership skills with a proactive, positive, and growth mindset; ability to foster and motivate programmers</p><p>• Experience delivering architectures for large software solutions meeting critical business purposes</p><p>• Proficient in Java & Java EE, with strong knowledge of its ecosystem and ability to write reusable components/Java libraries</p><p>• Deep familiarity with cloud platforms (AWS, Azure, or Google), Serverless architecture, and Cloud Native solutions</p><p>• Experience with AWS services: API Gateway, DynamoDB, Lambda, SQS, SNS, Lambda Authorizer, Kinesis, IAM, SAM</p><p>• AWS Developer Certification</p><p>• Work experience in Python</p><p>• Work experience in front-end technologies such as Angular/React/Vue/Flutter, with knowledge of Node JS</p><p>• Familiarity with OOPS, MVC, JDBC, RESTful, JSON, and Swagger Open API specification</p><p>• Experience with microservices orchestration (choreography, orchestration, state machines), service mesh, authentication/authorization (IdP, OAuth2), testing patterns and automation, and app reliability (Monitoring, Logging, Observability)</p><p>• Experience in NoSQL (Mongo preferable) and RDBMS (Oracle, PostgreSQL); ability to write complex SQL queries, procedures, and functions</p><p>• Experience designing and creating database schemas that support business processes</p><p>• Work experience in Spring framework (Spring Core, Spring Batch, AOP, Spring Data, Spring JDBC, Spring Boot, Spring Reactive) and Hibernate ORM</p><p>• Working experience in Spring Security and OAuth2 implementation</p><p>• Experience with messaging technologies: JMS, ActiveMQ, IBM MQ, and Apache Kafka</p><p>• Experience with container-based architecture: Kubernetes, Docker, CI/CD (Jenkins, GitLab CI/CD)</p><p>• Proficient with code versioning tools: Azure Repo, Bitbucket, Git, GitLab</p><p>• Familiarity with build tools: Ant, Maven, Gradle</p>
<p>LLM Solution Design & Development</p><ul><li><p>Architect and deliver production-ready LLM applications, including conversational agents, intelligent assistants, and RAG pipelines with advanced retrieval and re-ranking.</p></li><li><p>Build multi-agent systems using <strong>Lang Chain, Lang Graph, Auto Gen, or Crew AI</strong>; apply prompt engineering techniques to optimize model performance.</p></li><li><p>Integrate LLM solutions with enterprise systems via REST APIs and event-driven architectures.</p></li></ul><p>Model Fine-Tuning & Optimization</p><ul><li><p>Lead fine-tuning (LoRA, QLoRA, instruction tuning) and benchmark foundation models such as <strong>Open AI, Mistral, Llama, and Gemini</strong> for specific use cases.</p></li><li><p>Optimize for latency, cost, and throughput; design evaluation frameworks to measure accuracy, hallucination, and safety.</p></li></ul><p>Agentic AI & Workflow Automation</p><ul><li><p>Design agentic workflows with tool use, memory management, planning loops, and human-in-the-loop controls.</p></li><li><p>Build AI-driven automation pipelines across structured and unstructured enterprise data sources.</p></li></ul><p>Vector Databases & Knowledge Infrastructure</p><ul><li><p>Design and manage vector stores (Pinecone, Weaviate, Qdrant, FAISS, or <strong>PG Vector</strong>) with semantic and hybrid search strategies.</p></li><li><p>Maintain knowledge bases powering enterprise AI applications, ensuring accuracy and freshness of indexed content.</p></li></ul><p>Technical Leadership & Mentoring</p><ul><li><p>Guide and review the work of associate-level engineers; contribute to reusable frameworks and internal engineering standards.</p></li><li><p>Lead client workshops, technical discovery sessions, and proof-of-concept demonstrations; produce clear solution design documentation.</p></li></ul><p>Trend Monitoring & Innovation</p><ul><li><p>Evaluate emerging LLMs, multimodal models, and local inference runtimes; prototype new tools and share findings with the team.</p></li><li><p>Contribute to Beinex thought leadership through internal knowledge-sharing sessions, technical write-ups, or industry presentations.</p></li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li><p>5+ years of professional experience in AI Engineering, Machine Learning, or Applied NLP, with at least 2 years focused on LLMs and Generative AI.</p></li><li><p>Strong proficiency in Python and experience with <strong>Hugging Face Transformer Library, Lang Chain, Lang Graph, Fast API, and PyTorch</strong>.</p></li><li><p>Deep practical knowledge of LLM fine-tuning, prompt engineering, RAG pipeline design, and agentic AI development.</p></li><li><p>Hands-on experience with vector databases such as Pinecone, Weaviate, Qdrant, FAISS, or <strong>PG Vector</strong>, along with embedding models.</p></li><li><p>Proven ability to deploy and productionize AI solutions in AWS, Azure, or GCP using Docker and Kubernetes.</p></li><li><p>Experience integrating AI solutions with enterprise platforms through REST APIs, webhooks, or event-driven architectures.</p></li><li><p>Strong understanding of responsible AI principles, including hallucination mitigation, output evaluation, content safety, and model governance.</p></li><li><p>Excellent communication skills with the ability to explain complex technical concepts to both technical and business stakeholders.</p></li><li><p>Demonstrated ability to independently lead AI projects from solution design through production deployment.</p></li></ul><p>Preferred Certifications</p><ul><li><p>AWS Certified Machine Learning – Specialty, Azure AI Engineer, GCP Professional Machine Learning Engineer, or equivalent cloud AI/ML certification.</p></li><li><p>Deep Learning Specialization.</p></li><li><p>LLM Engineering or Generative AI certifications from recognized learning platforms such as <strong>Hugging Face, DeepLearning AI, or Databricks</strong>.</p></li><li><p>Certified Kubernetes Application Developer (CKAD) is an added advantage.</p></li></ul>
<ul><li><p>The AI & Digital Experience Analyst drives AI innovation and adoption within Technology Operations. The role focuses on turning AI concepts into practical solutions, leading Microsoft Copilot adoption, and coaching employees to build AI agents that automate workflows and use enterprise data. </p></li><li><p>The role acts as the bridge between AI technology and business users, helping Technology Services deliver measurable operational value and improve the overall digital experience.</p><br></li></ul><p><strong>Core Accountabilities:</strong></p><ul><li><p>AI Prototyping & Execution: Act as the primary builder for internal AI agents and automation tools, transforming architectural designs and logic workflows provided by TechOps leadership into testable, functional models.</p></li><li><p>Copilot Studio Expertise: Serve as the organisation’s subject-matter expert for Microsoft Copilot Studio, helping end users design, build, and publish their own agents – from simple question-and-answer bots to advanced agents with custom topics, actions, connectors, knowledge sources, and orchestration.</p></li><li><p>Enterprise AI Adoption: Lead user campaigns and training programs across the organization to drive the adoption of digital workplace tools, specifically spearheading the Microsoft Copilot training initiative.</p></li><li><p>Strategic Impact Reporting: Design and maintain executive dashboards and “Impact Stories” that translate complex TechOps achievements (e.g., automated ticket deflection, infrastructure cost savings, system uptime) into clear, business-facing metrics.</p><br></li></ul><p><strong>Operational responsibilities:</strong></p><ul><li><p>Copilot Studio Enablement: Run hands-on workshops and one-to-one coaching sessions that guide end users through building agents in Microsoft Copilot Studio, including advanced capabilities such as custom topics, generative actions, knowledge sources, connectors, and agent orchestration.</p></li><li><p>Model Training & Testing: Ingest, format, and structure internal data (policies, IT documentation) for AI Knowledge Bases. Conduct rigorous prompt testing, log hallucination rates, and refine agent outputs prior to production deployment.</p></li><li><p>Digital Experience Advocacy: Conduct live training sessions and workshops with business units to demonstrate the capabilities of deployed AI tools and gather user feedback for continuous improvement.</p></li><li><p>Proof of Concept (PoC) Development: Rapidly build internal PoCs using existing platforms to validate business requests before the organization full approve full implementation.</p></li><li><p>Governance & Best Practice: Define and share reusable templates, guardrails, and best-practice guidance so that user-built Copilot Studio agents remain secure, compliant, and aligned with ADGM standards.</p></li><li><p>Performance Tracking: Monitor the daily usage and success rates of deployed AI Service Desk agents and provide weekly analytics on automated ticket resolution.</p></li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li><p>6–10 years experience overall, including 1–3 years in AI.</p></li><li><p>Bachelor’s degree in AI, Computer Science, IT, or related technical field.</p></li><li><p>Strong understanding of LLMs, prompt engineering, and AI tools.</p></li><li><p>Hands-on experience with Copilot and Copilot Studio, including building/configuring agents, topics, actions, and connectors.</p></li><li><p>Basic Python/PowerShell scripting for data and API integrations.</p></li><li><p>Strong communication and presentation skills, able to translate AI concepts for non-technical users.</p></li><li><p>Strong problem-solving, rapid prototyping, and ability to stay current with emerging AI tools and models.</p></li><li><p>Agile, cloud-first environment with continuous learning and rapid adoption of new AI technologies.</p></li></ul><br><p><strong>Note: </strong>This is a full-time role with ADGM, engaged through an outsourcing partner and based within the Technology Services Division.</p><br>
<ul><li><p>Designing and building Generative AI applications using Large Language Models (LLMs)</p></li><li><p>Developing Agentic AI solutions, including autonomous agents, multi-agent orchestration, and workflow-driven decision systems</p></li><li><p>Building solutions using frameworks such as LangChain, LangGraph or similar agent frameworks</p></li><li><p>Implementing RAG architecture with vector databases</p></li><li><p>Knowledge of embeddings, vector DBs, and model evaluation.</p></li><li><p>Implement various Context Engineering strategies to reduce Token Utilization & Latency.</p></li><li><p>Implement RAG Strategies to reduce retrieval latency and answer relevancy.</p></li><li><p>Prompt engineering, tool calling, memory management, and agent orchestration</p></li><li><p>Integrating AI services with enterprise APIs, middle ware, and backend systems</p></li><li><p>Evaluated & Improvise AI Agent Performance using several metrics</p></li><li><p>Deploying scalable AI solutions on Azure / AWS cloud platforms</p></li><li><p>Working with model evaluation, guardrails, observability, and AI governance</p></li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li><p>Bachelor’s degree in computer science, Engineering, or a related field.</p></li><li><p>Senior professional with around 10 years of experience.</p></li><li><p>3+ years of relevant experience in AI Engineering</p></li><li><p>Working experience in an agile software development environment with a good understanding of the principles of agile architecture. Strong collaborative mindset for collective decentralized decision making.</p></li><li><p>Demonstrate strong technical skills with a deep understanding of modern architectural styles and practices such as Microservices, Containers, Cloud (AWS, Azure), APIs, Continuous Delivery, Event-driven architecture, Evolutionary architecture, etc., with a passion for hands on coding.</p></li><li><p>Strong foundation knowledge of software architecture concepts, patterns, principles, and quality attributes. Ability to consistently apply them in real-world scenarios with a pragmatic, system thinking, and problem-solving mindset by analyzing architecture trade-offs for delivering high-quality, sustainable solution architecture.</p></li><li><p>Proven leadership skills with a proactive, positive, and growth mindset. Ability to foster and motivate programmers for delivering with craftsmanship. Good personal skills to continuously engage and communicate with an egoless empathetic mindset.</p></li><li><p>Experience and expertise in delivering architecture for large software solutions meeting critical business purposes. Ability to proactively discover technical debts and continuous improvement opportunities of existing live systems. Work closely with the product owner and enterprise architects to influence and prioritize technical backlog items.</p></li><li><p>Strong proficiency in Python (NumPy, pandas, FastAPI, PyTorch/TensorFlow).</p></li><li><p>Experience with Agent framework LangChain, Lang Graph.</p></li><li><p>Architect end-to-end data indexing pipelines optimized for semantic search and RAG.</p></li><li><p>Design resilient data ingestion frameworks that ensure high availability and low latency for vectorized datasets.</p></li><li><p>Experience deploying and managing models via Amazon Bedrock, Azure OpenAI Service, and Google Vertex AI.</p></li><li><p>Integration of pre-built AI APIs for Speech-to-Text, Computer Vision, and Natural Language Processing (NLP).</p></li><li><p>Leveraging serverless architectures (e.g., AWS Lambda, Azure Functions) to trigger AI inference and data pre-processing.</p></li><li><p>Experience working with CI/CD tools like Jenkins/Gitlab in Cloud Native environments.</p></li><li><p>Experience in setting up pipeline for cloud based and on-prem based application with static code analysis, requirement tagging in Jira.</p></li><li><p>Experience working with one or more DevOps tools & config management tools.</p></li><li><p>Experience in managing and deploying AI workloads in Kubernetes.</p></li><li><p>Experience operating monitoring tools for traditional and cloud environments.</p></li><li><p>Strong analytical mind for problem solving.</p></li></ul>
<p>We are seeking an experienced <strong>Senior Oracle Core DBA</strong> with a strong background in Oracle Database administration, high availability, disaster recovery, database performance optimization, and replication technologies. The ideal candidate should have hands-on experience managing mission-critical production environments and be capable of independently implementing, upgrading, troubleshooting, and supporting <strong>Oracle database</strong> infrastructure. Experience with <strong>MySQL administration and clustering</strong> is also required.</p><p><strong> </strong></p><p><strong>Key Responsibilities</strong></p><ul><li><p>Install, configure, administer, upgrade, and maintain Oracle Database environments.</p></li><li><p>Manage Oracle RAC environments, including installation, administration, monitoring, and troubleshooting.</p></li><li><p>Design, implement, and administer Oracle Data Guard (Physical/Logical Standby) for Disaster Recovery.</p></li><li><p>Configure, administer, and troubleshoot Oracle GoldenGate (Classic Architecture and Microservices Architecture).</p></li><li><p>Perform database performance tuning using AWR, ASH, ADDM, SQL Tuning Advisor, and execution plan analysis.</p></li><li><p>Monitor and optimize SQL performance, database resources, memory, storage, and I/O.</p></li><li><p>Perform Oracle database patching, Release Updates (RU), upgrades, and migration activities.</p></li><li><p>Execute backup and recovery using RMAN and validate recovery procedures.</p></li><li><p>Perform database cloning, Data Pump export/import, and database refresh activities.</p></li><li><p>Administer ASM, Oracle Clusterware, Oracle Grid Infrastructure, and Oracle Restart environments.</p></li><li><p>Install, configure, administer, and troubleshoot MySQL databases.</p></li><li><p>Implement and manage MySQL Replication and MySQL Cluster solutions.</p></li><li><p>Develop automation scripts using Shell, SQL, or Python to simplify routine DBA activities.</p></li><li><p>Perform root cause analysis for database incidents and implement preventive measures.</p></li><li><p>Work closely with application, infrastructure, and security teams during project implementation and production support.</p></li><li><p>Maintain technical documentation, operational procedures, and disaster recovery documentation.</p></li><li><p>Participate in planned maintenance activities and provide on-call support when required.</p></li></ul><p><strong> </strong></p><p><strong>Required Technical Skills</strong></p><p><strong>Oracle Database</strong></p><ul><li><p>Oracle Database 11g, 12c, 19c, and 23ai/26ai</p></li><li><p>Oracle RAC</p></li><li><p>Oracle ASM</p></li><li><p>Oracle Clusterware</p></li><li><p>Oracle Grid Infrastructure</p></li><li><p>Oracle Restart</p></li></ul><p><strong> </strong></p><p><strong>High Availability & Disaster Recovery</strong></p><ul><li><p>Oracle Data Guard</p></li><li><p>Data Guard Broker</p></li><li><p>Fast-Start Failover (FSFO)</p></li></ul><p><strong> </strong></p><p><strong>Replication</strong></p><ul><li><p>Oracle GoldenGate Classic Architecture</p></li><li><p>Oracle GoldenGate Microservices Architecture</p></li></ul><p><strong> </strong></p><p><strong>MySQL</strong></p><ul><li><p>MySQL Administration</p></li><li><p>MySQL Replication</p></li><li><p><strong>MySQL InnoDB Cluster / NDB Cluster/</strong> MySQL Cluster</p></li><li><p>Backup and Recovery</p></li></ul><p><strong> </strong></p><p><strong>Performance & Monitoring</strong></p><ul><li><p>Performance Tuning</p></li><li><p>SQL Tuning</p></li><li><p>AWR</p></li><li><p>ASH</p></li><li><p>ADDM</p></li><li><p>OEM Cloud Control</p></li><li><p>RMAN</p></li></ul><p><strong> </strong></p><br><p><strong>Desired Candidate Profile</strong></p><p><strong>Required Qualifications</strong></p><ul><li><p>Bachelor’s degree in computer science, Information Technology, or a related field.</p></li><li><p>Minimum <strong>8 years of hands-on experience</strong> as an Oracle Core DBA.</p></li><li><p>Strong experience supporting mission-critical production environments.</p></li><li><p>Experience in Oracle database upgrades, migrations, patching, and high-availability solutions.</p></li><li><p>Experience administering both Oracle and MySQL database environments.</p></li></ul><p><strong> </strong></p><p><strong>Preferred Certifications</strong></p><ul><li><p>Oracle Certified Professional (OCP)</p></li><li><p>Oracle Certified Master (OCM) – Preferred</p></li><li><p>Oracle Cloud Infrastructure (OCI) Certification – Preferred</p></li><li><p>MySQL Database Administrator Certification – Preferred</p></li></ul><p><strong> </strong></p><p><strong>Soft Skills</strong></p><ul><li><p>Excellent verbal and written communication skills.</p></li><li><p>Strong analytical and problem-solving abilities.</p></li><li><p>Good team player with the ability to collaborate across cross-functional teams.</p></li><li><p>Ability to work independently with minimal supervision.</p></li><li><p>Strong customer focus and commitment to service excellence.</p></li><li><p>Ability to manage multiple priorities in a fast-paced production environment.</p></li><li><p>Willingness to provide on-call and after-hours support during critical activities.</p></li></ul>
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><ul><li><p>Development:</p><ul><li><p>Design, develop, and implement Kafka-based solutions to meet business requirements, utilizing Confluent Control Center, KSQLDB, Kafka Streams, and Kafka Connect.</p></li><li><p>Write and maintain high-quality code for Kafka producers, consumers, and stream processing applications.</p></li><li><p>Develop and manage Kafka connectors for seamless integration with external systems, ensuring data consistency and reliability.</p></li><li><p>Utilize Kafka Streams for real-time processing of streaming data, transforming and enriching data as it flows through the pipeline.</p></li><li><p>Employ KSQLDB for stream processing tasks, including real-time analytics and transformations.</p></li><li><p>Collaborate with data engineers, software developers, and DevOps teams to integrate Kafka solutions with existing systems.</p></li><li><p>Ensure all Kafka-based solutions are scalable, secure, and optimized for performance.</p></li></ul><p>User Acceptance Testing (UAT):</p><ul><li><p>Develop and execute UAT plans to validate Kafka solutions, including components such as Kafka Streams, KSQLDB, and Kafka Connect, before deployment to production.</p></li><li><p>Work closely with QA teams to identify and resolve defects during the UAT phase.</p></li><li><p>Ensure all UAT activities comply with the organization’s standards and best practices.</p></li><li><p>Provide detailed reports on UAT outcomes and work with developers to implement necessary fixes.</p></li></ul><p>Production Support:</p><ul><li><p>Monitor and maintain Kafka clusters, including components like Confluent Control Center, to ensure high availability and reliability of data streaming services.</p></li><li><p>Troubleshoot and resolve issues related to Kafka performance, latency, and data integrity, including issues specific to Kafka Streams, KSQLDB, and Kafka Connect.</p></li><li><p>Perform routine maintenance tasks such as patching, upgrades, and backups for Kafka clusters and associated components.</p></li><li><p>Implement monitoring solutions to proactively identify and mitigate potential production issues, leveraging Confluent Control Center for comprehensive cluster visibility.</p></li><li><p>Provide 24/7 support for production systems, including participation in on-call rotation.</p></li></ul></li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li><p>Education: Bachelor’s degree in Computer Science, Information Technology, or a related field.</p><p>Experience:</p><ul><li><p>3+ years of hands-on experience with Apache Kafka and Confluent Kafka in a production environment, including experience with Confluent Control Center, KSQLDB, Kafka Streams, and Kafka Connect.</p></li><li><p>Proven experience in Kafka development, including producer and consumer API, stream processing, and connector development.</p></li><li><p>Experience with Kafka cluster management, including setup, configuration, monitoring, and troubleshooting.</p></li><li><p>Familiarity with distributed systems, microservices architecture, and event-driven design patterns.</p></li><li><p>Experience with cloud platforms (e.g., AWS, Azure) and containerization (Kubernetes) is a plus.</p></li></ul><p>Technical Skills:</p><ul><li><p>Proficiency in programming languages such as Java, Python, or Scala.</p></li><li><p>Strong knowledge of Kafka internals, including brokers, zookeepers, topics, partitions, and offsets.</p></li><li><p>Experience with monitoring tools (e.g., Prometheus, Grafana) and logging frameworks (e.g., Log4j, ELK Stack).</p></li><li><p>Proficiency in using Confluent Control Center for monitoring, managing, and optimizing Kafka clusters.</p></li><li><p>Expertise in Kafka Streams for building scalable, fault-tolerant stream processing applications.</p></li><li><p>Experience with KSQLDB for real-time processing and analytics on Kafka topics.</p></li><li><p>Strong understanding of Kafka Connect for integrating Kafka with external data sources and sinks.</p></li><li><p>Understanding of networking, security, and compliance aspects related to Kafka.</p></li><li><p>Familiarity with CI/CD pipelines and automation tools (e.g., Jenkins, GitLab CI).</p></li></ul></li></ul><p></p></section>
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><p>Brocode Solutions is seeking an experienced and innovative AI Engineer to lead the design, development, and deployment of cutting-edge AI solutions. The ideal candidate will have extensive experience in Generative AI, AI Agents, Retrieval-Augmented Generation (RAG), Large Language Models (LLMs), and intelligent chatbot development.</p><p>You will be responsible for building enterprise-grade AI applications, autonomous agents, knowledge retrieval systems, and AI-powered business automation solutions for clients across multiple industries</p><p>.</p><p><strong>Key Responsibilities</strong></p><br><ul><li><p>Design, develop, and deploy AI-powered applications using Large Language Models (LLMs).</p></li><li><p>Build intelligent AI Agents capable of planning, reasoning, tool usage, and workflow automation.</p></li><li><p>Develop and optimize Retrieval-Augmented Generation (RAG) systems using vector databases and enterprise knowledge bases.</p></li><li><p>Architect conversational AI solutions, chatbots, virtual assistants, and customer support automation platforms.</p></li><li><p>Fine-tune, evaluate, and optimize open-source and commercial AI models.</p></li><li><p>Integrate AI solutions with enterprise systems such as ERP, CRM, HRMS, and custom applications.</p></li><li><p>Build multi-agent systems and orchestrate complex AI workflows.</p></li><li><p>Implement prompt engineering, agent memory, tool calling, and function execution frameworks.</p></li><li><p>Develop scalable APIs and microservices for AI applications.</p></li><li><p>Collaborate with software engineering teams to deploy AI solutions in cloud and on-premise environments.</p></li><li><p>Monitor model performance, accuracy, hallucination rates, and AI system reliability.</p></li><li><p>Stay current with emerging AI technologies and industry best practices.</p></li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"><br></p><p><strong>AI & Machine Learning</strong></p><br><ul><li><p>7–10 years of software engineering experience with at least 4+ years focused on AI/ML.</p></li><li><p>Strong experience with Generative AI and Large Language Models (GPT, Claude, Gemini, Llama, Mistral, etc.).</p></li><li><p><strong>Hands-on experience building AI Agents using frameworks such as:</strong></p><ul><li><p>LangChain</p></li><li><p>LangGraph</p></li><li><p>CrewAI</p></li><li><p>AutoGen</p></li><li><p>LlamaIndex</p></li><li><p>Semantic Kernel</p><br></li></ul></li></ul><p><strong>RAG & Knowledge Systems</strong></p><br><ul><li><p>Extensive experience designing and implementing RAG architectures.</p></li><li><p>Experience with vector databases:</p><ul><li><p>Pinecone</p></li><li><p>Weaviate</p></li><li><p>Qdrant</p></li><li><p>ChromaDB</p></li><li><p>Milvus</p></li><li><p>FAISS</p></li></ul></li><li><p>Knowledge of document processing, embeddings, chunking strategies, and semantic search.</p><br></li></ul><p><strong>Chatbots & Conversational AI</strong></p><br><ul><li><p>Development of enterprise chatbots and virtual assistants.</p></li><li><p>Experience with conversational memory, context management, and multi-turn interactions.</p></li><li><p>Integration with WhatsApp, Microsoft Teams, Slack, Web, and Mobile platforms.</p></li></ul><p>Programming</p><ul><li><p>Expert-level Python development.</p><br></li><li><p><strong>Experience with:</strong></p><ul><li><p>FastAPI</p></li><li><p>Django</p></li><li><p>Flask</p></li><li><p>REST APIs</p></li><li><p>GraphQL</p><br></li></ul></li></ul><p><strong>Cloud & DevOps</strong></p><br><ul><li><p>Experience with AWS, Azure, or Google Cloud.</p></li><li><p>Containerization using Docker and Kubernetes.</p></li><li><p>CI/CD pipelines and MLOps practices.</p></li><li><p>Model deployment and monitoring.</p><br></li></ul><p><strong>Databases</strong></p><br><ul><li><p>PostgreSQL</p></li><li><p>MongoDB</p></li><li><p>Redis</p></li><li><p>Elasticsearch</p><br></li></ul><p><strong>Preferred Qualifications</strong></p><br><ul><li><p>Experience building autonomous AI agents for business process automation.</p></li><li><p>Knowledge of multimodal AI systems (Text, Image, Audio, Video).</p></li><li><p>Experience with fine-tuning open-source LLMs.</p></li><li><p>Experience with AI security, governance, and compliance.</p></li><li><p>Familiarity with NLP, transformers, and deep learning frameworks such as PyTorch or TensorFlow.</p></li><li><p>Experience deploying AI solutions in enterprise environments.</p></li></ul><br><p><strong>What We Offer</strong></p><br><ul><li><p>Opportunity to work on cutting-edge AI and Generative AI projects.</p></li><li><p>Exposure to enterprise-scale AI implementations across UAE and GCC markets.</p></li><li><p>Collaborative and innovation-driven work environment.</p></li><li><p>Competitive salary and benefits package.</p></li><li><p>Career growth opportunities in emerging AI technologies.</p></li></ul><p></p></section>
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><p>Experienced Senior System Integration and Test Lead Engineer to lead integration, deployment, verification, validation, and testing activities for large-scale Integrated Control and Supervisory Systems (ICSS).</p><p>The role involves end-to-end responsibility for system integration across software, hardware, networking, virtualization, and field interfaces in mission-critical environments. The engineer will coordinate multidisciplinary teams, manage deployment and testing activities, and ensure successful delivery of integrated systems aligned with project requirements, quality standards, and operational needs.</p><p><strong>Key Responsibilities</strong></p><ul><li><p>Lead system integration, installation, deployment verification, and field testing activities for integrated systems.</p></li><li><p>Coordinate integration across software, hardware, communication, and operational subsystems.</p></li><li><p>Plan and manage functional, integration, performance, and stress testing activities.</p></li><li><p>Ensure test completeness, traceability, and compliance with project and customer requirements.</p></li><li><p>Analyze system logs, troubleshoot issues, perform root cause analysis, and drive issue resolution.</p></li><li><p>Oversee deployment strategies across development, test, staging, and production environments.</p></li><li><p>Support deployment and orchestration of containerized and virtualized infrastructures.</p></li><li><p>Coordinate with engineering, commissioning, maintenance, operations, and project management teams.</p></li><li><p>Ensure preparation of technical documents including integration procedures, test procedures, reports, and deployment documentation.</p></li><li><p>Drive process improvement, technical governance, and knowledge sharing within the project teams.</p></li><li><p>Support alignment between local execution teams and international development/design teams.</p></li></ul><p><strong>Required Technical Skills</strong></p><p><strong>System Integration & Testing</strong></p><ul><li><p>Strong experience in integration and testing of complex distributed systems.</p></li><li><p>Experience with end-to-end verification and validation activities.</p></li><li><p>Strong troubleshooting and failure analysis capabilities.</p></li><li><p>Experience managing requirement traceability and system validation.</p></li></ul><p><strong>Infrastructure & Platforms</strong></p><ul><li><p>Hands-on experience with Kubernetes cluster deployment, scaling, and troubleshooting.</p></li><li><p>Experience with container technologies such as Docker and Podman.</p></li><li><p>Strong understanding of virtualization technologies such as VMware or equivalent platforms.</p></li><li><p>Good knowledge of Linux administration and system configuration.</p></li></ul><p><strong>Networking & Communication</strong></p><ul><li><p>Strong knowledge of network architectures and communication protocols including TCP/IP and UDP.</p></li><li><p>Experience working with field devices, telecom systems, and integrated operational networks.</p></li></ul><p><strong>Programming & Tools</strong></p><ul><li><p>Scripting and programming experience in Python, Bash, SQL, JavaScript, or similar technologies.</p></li><li><p>Experience with monitoring and observability tools such as Zabbix, OpenSearch, or equivalent.</p></li><li><p>Good knowledge of engineering and project tools such as Microsoft Project, Visio, and Excel.</p></li></ul><p><strong>Leadership & Coordination Skills</strong></p><ul><li><p>Proven leadership experience in system integration and testing activities.</p></li><li><p>Ability to coordinate cross-functional and international engineering teams.</p></li><li><p>Strong communication and stakeholder management skills.</p></li><li><p>Good planning and execution capabilities under schedule pressure.</p></li><li><p>Ability to manage multiple priorities and support critical decision-making activities.</p></li></ul><br></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p><strong>Preferred Qualifications</strong></p><ul><li><p>Experience in railway systems, transportation control systems, or mission-critical environments.</p></li><li><p>Exposure to safety-critical or highly regulated industries.</p></li><li><p>Experience working in international and multicultural project environments.</p></li><li><p>Self-driven, proactive, and solution-oriented mindset.</p></li></ul><p><strong>Education</strong></p><ul><li><p>Bachelor’s or Master’s degree in Computer Science, Electronics, Electrical Engineering, Information Technology, Telecommunications, or related discipline.</p></li></ul><p><strong>Language Requirements</strong></p><ul><li><p>Fluent English communication skills (written and spoken) are mandatory.</p></li><li><p>Additional language skills will be considered an advantage</p></li></ul><p></p></section>
<ul><li><p>Specialist in designing and implementing Test Automation Frameworks using Selenium, Java, BDD Cucumber, enabling scalable automation for Web, Mobile, API, and Enterprise applications.</p><p>· Extensive experience in UiPath Test Suite and RPA, including:</p><ul><li><p>Setting up and managing UiPath Orchestrator environments.</p></li><li><p>Configuring and administering Unattended Robots for automated test execution and business process automation.</p></li><li><p>Scheduling and orchestrating automated test executions using UiPath Orchestrator.</p></li><li><p>Developing reusable automation workflows and test automation assets.</p></li><li><p>Integrating UiPath automation with enterprise DevOps pipelines for continuous testing.</p></li></ul><p>· Strong expertise in GitLab CI/CD, including repository management, pipeline design, deployment automation, and integration of automated testing tools into CI/CD workflows.</p><p>· Hands-on experience integrating UiPath Test Automation, Selenium, and API tests with GitLab pipelines, enabling automated execution, reporting, and quality gates as part of continuous delivery processes.</p><p>· Comprehensive experience in creating and maintaining GitLab repositories, developing end-to-end pipeline architectures, implementing CI/CD practices, and deploying applications to Kubernetes platforms using Helm charts and on-premises environments.</p><p>· Expertise in implementing Continuous Testing strategies by integrating automated testing tools with DevSecOps pipelines to improve release quality and deployment velocity.</p><p>· Strong hands-on experience in Web, Mobile, API, Desktop Application Development, utilizing Java, VB, Selenium, UFT, and related technologies.</p><p>· Expertise in cloud-based testing platforms such as BrowserStack for cross-browser and mobile testing.</p><p>· Strong experience in Service Virtualization using IBM Rational Integration Tester (RIT), enabling efficient testing of dependent systems.</p><p>· Certified in AWS Cloud Practitioner, HashiCorp Terraform, and IBM RFT.</p><p>· Experience managing distributed teams and coordinating activities across Onshore, Offshore, and Multi-Vendor delivery models.</p><p>· In-depth domain expertise in Corporate Banking, Operations, Payments, and Financial Services platforms.</p><p>· Proven ability to lead and deliver critical enterprise initiatives under demanding conditions, including Bank Mergers, Disaster Recovery Exercises, Regulatory Changes, and Large-Scale Transformation Programs.</p><p>· Strong leadership experience in managing large automation teams, driving automation adoption, mentoring team members, and delivering complex enterprise-wide programs.</p><p>· Expert in identifying, designing, and implementing QA Governance Frameworks, Test Automation Strategies, DevOps Practices, and Quality Engineering Processes.</p><p>· Skilled in risk assessment, impact analysis, and execution of mitigation strategies to ensure successful project delivery.</p><p>· Experience in establishing enterprise-wide testing standards, automation governance models, and continuous improvement initiatives.</p><p>· Strong understanding of PCI DSS compliance requirements, ensuring data handling and testing practices remain compliant with regulatory standards.</p><p>· Excellent communication and stakeholder management skills, with the ability to effectively present technical and business solutions to senior leadership, business stakeholders, and technology teams.</p><p>· Demonstrated ability to manage multiple strategic initiatives simultaneously while maintaining quality, delivery timelines, and operational excellence.</p></li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li><p>Bachelor's or Master's degree in Computer Science, Engineering, or a related field.</p></li><li><p>Minimum of 7+ years of experience in software quality assurance, with at least 3 years in a lead or senior automation role.</p></li><li><p>Proven expertise in developing and maintaining test automation frameworks using languages like Java, Python, or JavaScript.</p></li><li><p>Hands-on experience with popular automation tools such as Selenium WebDriver, Cypress, Playwright, or Appium.</p></li></ul><br><p>Skills
Selenium
Java
BDD Cucumber</p>
<ul><li><p>Design, architect, and operate enterprise scale Red Hat OpenShift (v4.x) platforms across on prem, private cloud, and managed OpenShift services (ARO, ROSA) for regulated banking workloads.</p><ul><li><p>Define hybrid and multi cloud OpenShift architecture, integrating on prem OpenShift with cloud hosted clusters while maintaining security, compliance, and operational consistency.</p></li><li><p>Architect OpenShift solutions leveraging Azure Red Hat OpenShift (ARO) and Red Hat OpenShift Service on AWS (ROSA), including network connectivity, identity integration, and landing zone alignment.</p></li><li><p>Build, configure, and maintain OpenShift cluster infrastructure across bare metal, virtualized, and cloud environments, including networking, storage, ingress, and security integration.</p></li><li><p>Own the end to end lifecycle of OpenShift platforms: installation, upgrades, patching, capacity planning, scaling, and platform health management.</p></li><li><p>Act as a solution architect and technical advisor for container platforms, guiding application modernization and cloud native adoption strategies.</p></li><li><p>Design hybrid connectivity models between on prem and cloud OpenShift clusters using VPN, private connectivity (e.g., ExpressRoute / Direct Connect–aligned designs), and secure ingress/egress patterns.</p></li><li><p>Develop technical architectures, solution blueprints, and design documents for OpenShift based platforms and cloud integrated solutions.</p></li><li><p>Prepare and deliver technical proposals, architecture presentations, and platform roadmaps to architecture review boards, leadership, and key stakeholders.</p></li><li><p>Implement and manage OpenShift ecosystem components, including Operators, OperatorHub, OpenShift Pipelines (Tekton), GitOps (Argo CD), and Service Mesh (Istio).</p></li><li><p>Drive platform automation and standardization using Ansible, Terraform (where applicable), Bash, and Python across on prem and cloud OpenShift environments.</p></li><li><p>Enable and support CI/CD pipelines and GitOps workflows for cloud and hybrid OpenShift clusters, ensuring controlled and compliant deployments.</p></li><li><p>Integrate OpenShift with cloud native services and enterprise tooling, including identity providers, container registries, monitoring, logging, and certificate management.</p></li><li><p>Ensure security, risk, and compliance alignment across hybrid and cloud platforms, enforcing RBAC, network policies, cluster hardening, and banking regulatory standards.</p></li><li><p>Integrate and manage container and cloud security tooling, including image scanning, vulnerability management, and policy enforcement (e.g., ACS, Trivy).</p></li><li><p>Monitor and troubleshoot performance, availability, and reliability issues across on prem and cloud OpenShift clusters, providing root cause analysis and remediation.</p></li><li><p>Design and operate centralized observability solutions (Prometheus, Grafana, EFK/ELK) for hybrid OpenShift environments.</p></li><li><p>Plan and execute capacity and scaling strategies for OpenShift clusters across cloud and on prem platforms based on business demand and SLAs.</p></li><li><p>Provide technical leadership and mentorship to OpenShift and platform engineers, promoting cloud and hybrid platform best practices.</p></li><li><p>Lead or support small platform engineering teams, including task planning, technical reviews, and skill development.</p></li><li><p>Collaborate with cloud, infrastructure, security, networking, SRE, and application teams to deliver secure, stable, and compliant OpenShift platforms.</p></li><li><p>Provide 24/7 production support and incident leadership, ensuring fast recovery and minimal impact to critical banking services.</p></li><li><p>Contribute to platform governance, standards definition, and continuous improvement of enterprise container and hybrid cloud platforms.</p></li></ul></li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li><p>Required Skills *
Red Hat Openshift Administration, Advanced Cluster Management, Openshift Virtualization with cloud migration & Integration, preferably within the banking sector, with broad exposure to enterprise technology platforms.
Required Experience / Knowledge Areas *
At least 10 years of IT experience & 5+ years of recent experience in Openshift / Red Hat Openshift Administration, Advanced Cluster Management, Openshift Virtualization with cloud migration & Integration, preferably within the banking sector, with broad exposure to enterprise technology platforms.
Certifications Required
Red Hat Certified Specialist in OpenShift Administration
ITIL® Foundation – IT Service Management
Skills
OpenShift Administration
Cloud Integration
Hybrid Architecture</p></li></ul>
<p>We are looking for an experienced AI Engineer responsible for designing, developing, and deploying Generative AI and Agentic AI solutions that support enterprise-scale business use cases. This role includes building intelligent systems that integrate complex backend services and client-facing applications across web, mobile, and enterprise platforms.
The primary responsibility will be to design and develop AI-powered applications, autonomous agents, and multi-agent workflows, while coordinating with cross-functional teams across architecture, engineering, product, and business functions. Thus, a commitment to collaborative problem solving, sophisticated design, and product quality is essential.</p><br><p><strong>KEY ACCOUNTABILITIES:</strong></p><ul><li><p>Designing and building Generative AI applications using Large Language Models (LLMs)</p></li><li><p>Developing Agentic AI solutions, including autonomous agents, multi-agent orchestration, and workflow-driven decision systems</p></li><li><p>Building solutions using frameworks such as LangChain, LangGraph or similar agent frameworks</p></li><li><p>Implementing RAG architecture with vector databases</p></li><li><p>Knowledge of embeddings, vector DBs, and model evaluation.</p></li><li><p>Implement various Context Engineering strategies to reduce Token Utilization & Latency.</p></li><li><p>Implement RAG Strategies to reduce retrieval latency and answer relevancy.</p></li><li><p>Prompt engineering, tool calling, memory management, and agent orchestration</p></li><li><p>Integrating AI services with enterprise APIs, middle ware, and backend systems</p></li><li><p>Evaluated & Improvise AI Agent Performance using several metrics</p></li><li><p>Deploying scalable AI solutions on Azure / AWS cloud platforms.</p></li><li><p><strong>Working with model evaluation, guardrails, observability, and AI governance</strong></p></li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li><p>Bachelor's degree in Computer Science, Engineering, or a related field.</p></li><li><p>Senior professional with around 10 years of experience.</p></li><li><p>3+ years of relevant experience in AI Engineering</p></li><li><p>Working experience in an agile software development environment with a good understanding of the principles of agile architecture. Strong collaborative mindset for collective decentralized decision making.</p></li><li><p>Demonstrate strong technical skills with a deep understanding of modern architectural styles and practices such as Microservices, Containers, Cloud (AWS, Azure), APIs, Continuous Delivery, Event-driven architecture, Evolutionary architecture, etc., with a passion for hands on coding.</p></li><li><p>Strong foundation knowledge of software architecture concepts, patterns, principles, and quality attributes. Ability to consistently apply them in real-world scenarios with a pragmatic, system thinking, and problem-solving mindset by analyzing architecture trade-offs for delivering high-quality, sustainable solution architecture.</p></li><li><p>Proven leadership skills with a proactive, positive, and growth mindset. Ability to foster and motivate programmers for delivering with craftsmanship. Good personal skills to continuously engage and communicate with an egoless empathetic mindset.</p></li><li><p>Experience and expertise in delivering architecture for large software solutions meeting critical business purposes. Ability to proactively discover technical debts and continuous improvement opportunities of existing live systems. Work closely with the product owner and enterprise architects to influence and prioritize technical backlog items.</p></li><li><p>Strong proficiency in Python (NumPy, pandas, FastAPI, PyTorch/TensorFlow).</p></li><li><p>Experience with Agent framework LangChain, Lang Graph.</p></li><li><p>Architect end-to-end data indexing pipelines optimized for semantic search and RAG.</p></li><li><p>Design resilient data ingestion frameworks that ensure high availability and low latency for vectorized datasets.</p></li><li><p>Experience deploying and managing models via Amazon Bedrock, Azure OpenAI Service, and Google Vertex AI.</p></li><li><p>Integration of pre-built AI APIs for Speech-to-Text, Computer Vision, and Natural Language Processing (NLP).</p></li><li><p>Leveraging serverless architectures (e.g., AWS Lambda, Azure Functions) to trigger AI inference and data pre-processing.</p></li><li><p>Experience working with CI/CD tools like Jenkins/Gitlab in Cloud Native environments.</p></li><li><p>Experience in setting up pipeline for cloud based and on-prem based application with static code analysis, requirement tagging in Jira.</p></li><li><p>Experience working with one or more DevOps tools & config management tools.</p></li><li><p>Experience in managing and deploying AI workloads in Kubernetes.</p></li><li><p>Experience operating monitoring tools for traditional and cloud environments.</p></li><li><p><strong>Strong analytical mind for problem solving.</strong></p></li></ul>
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><ul><li><p>We’re looking for a talented Site Reliability Engineer (SRE) to keep our systems running smoothly, reliably, and at scale. Through smart automation, deep observability, and a calm head in a crisis, you’ll help us balance speed, compliance, and stability, working alongside DevOps, Cloud, Quality Engineering, and Product teams to drive continuous improvements in performance, security, and resilience.</p><p>You’ll play a key role in enhancing reliability, accelerating delivery, and ensuring seamless digital experiences for the bank customers.</p><p>This role reports directly to our Lead SRE / Tribe Executive Manager.</p><p>What You Will Be Doing</p><ul><li><p>Define and implement SLIs / SLOs and error budgets for business-critical digital banking services.</p></li><li><p>Build actionable observability (metrics, logs, traces, dashboards, and alerts) using Dynatrace, Prometheus, Grafana, and ELK, while reducing alert fatigue.</p></li><li><p>Leverage AI-driven insights and anomaly detection (Dynatrace Davis AI or equivalent AIOps platform) to proactively predict and resolve reliability issues before impact.</p></li><li><p>Lead incident management — from on-call triage and root-cause analysis to blameless postmortems with actionable follow-ups.</p></li><li><p>Improve deployment safety with robust rollout / rollback strategies, canary and blue-green deployments, and production readiness reviews.</p></li><li><p>Support and optimize microservices-based architectures, ensuring service reliability, scalability, and inter-service resilience.</p></li><li><p>Conduct capacity planning, performance tuning, and resilience testing, optimizing for both reliability and cost efficiency.</p></li><li><p>Automate operational toil — from runbooks and remediation scripts to proactive health checks and self-healing workflows.</p></li><li><p>Collaborate with DevOps to embed reliability gates and validations into CI / CD pipelines (GitHub Actions, Jenkins, GitLab CI / CD or Azure DevOps).</p></li><li><p>Own and evolve the observability and AIOps stack, driving intelligent automation and predictive alerting capabilities.</p></li><li><p>Maintain high-quality documentation, playbooks, and operational standards across environments.</p></li><li><p>Ensure operational compliance and security alignment with internal controls and regulatory standards.</p></li><li><p>Analyze system performance, availability, and cost data to continually optimize operations.</p></li><li><p>Provide reliability support and escalation guidance for critical production systems during major incidents</p></li></ul></li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li><p>5+ years of experience in SRE or DevOps roles, building and managing large-scale, high-availability systems across banking, fintech, e-commerce, or other data-intensive digital ecosystems.</p></li><li><p>Bachelor’s degree in Computer Science or equivalent technical experience.</p></li><li><p>Strong experience with Linux environments and performance troubleshooting.</p></li><li><p>Proven expertise in Terraform and Infrastructure as Code (IaC) methodologies.</p></li><li><p>Proficiency with Kubernetes and container orchestration in microservices environments.</p></li><li><p>Hands-on experience with AWS (preferred); exposure to Azure or GCP is an advantage.</p></li><li><p>Deep knowledge of Dynatrace (AIOps, Davis AI), Prometheus, Grafana, and the ELK stack.</p></li><li><p>Experience implementing AI / ML-driven reliability or automation solutions (AIOps, anomaly detection, predictive alerting).</p></li><li><p>Practical understanding of CI / CD pipelines (GitHub Actions, Jenkins, GitLab CI / CD or Azure DevOps).</p></li><li><p>Experience with Kafka, RabbitMQ, Redis, Aurora, and RDS databases.</p></li><li><p>Strong scripting or programming skills in Python, Bash, or Go. The Ideal Candidate</p></li><li><p>Organized, structured, and meticulous in approach.</p></li><li><p>Experienced in cross-functional collaboration and working with distributed teams.</p></li><li><p>Strong analytical mindset with excellent troubleshooting skills for complex production systems.</p></li><li><p>Calm and composed communicator under pressure, capable of leading during high-impact incidents.</p></li><li><p>Proactive problem-solver who anticipates issues and drives preventive improvements.</p></li><li><p>Passionate about AI-driven automation, observability, and reliability engineering.</p></li><li><p>Continuously learning, keeping up-to-date with cloud-native, microservices, and SRE best practices.</p></li><li><p>A collaborative and adaptable team player who thrives in a fast-paced, regulated environment and is passionate about building reliable, scalable systems that empower digital banking innovation.</p></li></ul><p></p></section>
<p><strong>Post holder will:</strong></p><ul><li><p>Provide technical assistance to support the implementation of a strategic health management information system to improve informatics and data use within the health sector.</p></li><li><p>Support the creation of analytical processing system, which will bring together information from aggregate data collection systems.</p></li><li><p>Adopt a mechanism to annually assess data quality and use.</p></li><li><p>Provide systems analysis and information system deployment services to all programmatic areas and departments.</p></li><li><p>Participate in face-to-face meetings and telephonic conference calls and other relationship management responsibilities with project officers and other relevant stakeholders and policy makers.</p></li><li><p>Collaborate with clinical departments to gather requirements and translate them into system configurations that improve clinical workflows and patient outcomes.</p></li><li><p>Lead the planning, testing, deployment, and support of new features, modules, and upgrades for clinical systems, ensuring minimal disruption to healthcare delivery.</p></li><li><p>Configure, maintain, and troubleshoot applications such as HIS, EMR, LIS, RIS, and PACS in collaboration with vendors and internal IT teams.</p></li><li><p>detailed gap analyses and workflow studies to optimize system usability and ensure alignment with best practices in healthcare IT.</p></li><li><p>Act as the subject matter expert for clinical systems, providing guidance during project planning, implementation, and system lifecycle management.</p></li><li><p>Monitor system performance, proactively resolve issues, and apply system enhancements or fixes in a timely and structured manner.</p></li><li><p>Develop and maintain user manuals, training materials, and system documentation to support adoption and knowledge sharing.</p></li><li><p>Provide second-line support for application-related incidents, resolving escalations and ensuring timely communication with clinical users.</p></li><li><p>Conduct regular audits and quality checks to ensure data integrity, system security, and compliance with healthcare regulations and accreditation standards.</p></li><li><p>Participate in the design of system reports and dashboards to support clinical decision-making and regulatory reporting.</p></li><li><p>Assist in planning and executing change management initiatives related to new system deployments or process changes.</p></li><li><p>Liaise with application vendors and consultants to resolve issues, coordinate upgrades, and evaluate new product features.</p></li><li><p>Mentor and train junior analysts or application specialists within the team.</p></li><li><p>Support integration efforts between clinical systems and other platforms such as ERP, billing, and laboratory systems.</p></li><li><p>Stay current with healthcare IT trends, digital health innovations, and regional compliance mandates (e.g., DOH, MOHAP, DHA).</p></li></ul><p><strong>Desired Candidate Profile</strong></p><p><strong>Education and Certification</strong></p><ul><li><p>Bachelor’s degree in healthcare informatics, Computer Science, Nursing, Biomedical Engineering, or a related field.</p></li><li><p>Certifications in clinical applications such as HIS/EMR (e.g., Cerner, Epic, TrakCare) are preferred.</p></li><li><p>Certification in healthcare IT standards (e.g., HL7, FHIR) is a plus.</p></li><li><p>ITIL or project management certifications (e.g., PMP) are advantageous.</p></li></ul><p><strong>Knowledge and Skills</strong></p><ul><li><p>Strong knowledge of clinical operations and workflows across inpatient, outpatient, laboratory, and radiology departments including billing and insurance.</p></li><li><p>Proficiency in configuring and supporting hospital and clinical information systems.</p></li><li><p>Understanding of healthcare data standards (e.g., HL7, ICD-10, SNOMED CT, FHIR).</p></li><li><p>Excellent troubleshooting and problem-solving skills related to application functionality and user experience.</p></li><li><p>Strong documentation, presentation, and communication skills.</p></li><li><p>Ability to work independently and collaboratively with multi-disciplinary teams in high-pressure healthcare environments.</p></li><li><p>Familiarity with regulatory standards such as JCI and local healthcare authority guidelines.</p></li><li><p>Competence in writing SQL queries and understanding relational databases is an advantage.</p></li></ul><p><strong>Minimum Qualification & Experiences</strong></p><ul><li><p>Concepts of programming and scripting (python, C++, TCL etc).</p></li><li><p>Ability to right and optimise queries.</p></li></ul><p><strong>Senior Health Informatics Specialist benefits from having experience/competency in:</strong></p><ul><li><p>Hospital Information Systems (HIS)</p></li><li><p>Large scale implementations</p></li><li><p>Electronic Medical Records (EMR)</p></li><li><p>Clinical workflows and user adoption</p></li><li><p>HL7/FHIR integration</p></li><li><p>Change management</p></li><li><p>End-user training and documentation</p></li><li><p>Ability to read and understand code.</p></li><li><p>Regulatory and compliance requirements</p></li><li><p>Report building and dashboarding</p></li><li><p>Healthcare quality and accreditation</p></li><li><p>System performance tuning</p></li></ul><p><strong>Experience</strong></p><ul><li><p>8+ years of experience in healthcare IT with a focus on clinical systems.</p></li><li><p>5 years of Business Analysis experience.</p></li><li><p>Proven experience working on HIS/EMR implementation and support in a hospital or healthcare environment</p></li></ul>
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><p><strong><em>Operational Responsibilities</em></strong></p><p><strong>Learning Systems & Project Leadership</strong></p><p>· Lead end-to-end LMS initiatives (upgrades, migrations, SaaS/on-prem transitions, Ultra adoption, new module rollouts) from requirements through cutover and hypercare.</p><p>· Build project plans, budgets, resource allocations, and risk/issue logs; manage vendors and cross-functional teams (IT, academic affairs, libraries, QA).</p><p>· Maintain platform roadmaps and release calendars; ensure timely patching, testing, and change communication.</p><p><strong>Application Integration & Data Management</strong></p><p>· Integrate LMS with SIS (e.g., Banner, PeopleSoft, ..), IAM/SSO (SAML2/Shibboleth, OAuth2), content and assessment tools (Turnitin, Respondus, Proctoring), video platforms (Panopto/Kaltura), collaboration tools (MS Teams/Zoom), and analytics/reporting stacks.</p><p>· Design and maintain secure data flows and APIs (REST, webhooks) for Enrollment automation, grade passback, and course provisioning; implement data governance, cataloguing, and retention policies.</p><p>· Manage data pipelines for operational and learning analytics (Blackboard Data, Moodle Analytics) and publish dashboards (e.g., Power BI/Tableau) for academic and executive stakeholders.</p><p><strong>Course Lifecycle & Academic Operations</strong></p><p>· Own start‑of‑term readiness: course shells, enrollments, role mapping, templates, rubrics, and quality checks.</p><p>· Define and optimize processes for course copy, archiving, and content lifecycle; automate routine tasks where feasible.</p><p>· Provide second‑/third‑line functional support for complex assessment setups (gradebook, outcomes, question banks, exams).</p><p><strong>Learning Analytics, Reporting & User Experience</strong></p><p>· Define KPI/OKR frameworks (engagement, submission, progression, early alerts) and deliver role‑based dashboards for faculty, program leaders, and student success teams.</p><p>· Translate academic needs into intuitive, accessible course designs and navigation; collaborate with instructional designers and UX to improve consistency and usability.</p><p>· Promote continuous improvement through usability testing, feedback loops, and A/B pilots.</p><p><strong>Digital Learning Ecosystem Enablement</strong></p><p>· Evaluate, implement, and govern LTI tools and plugins (Moodle plug-ins, Blackboard Building Blocks/REST apps) for authoring, quizzing, e-portfolios, and academic integrity.</p><p>· Oversee media management, captioning/ASR pipelines, and content accessibility (e.g., Ally) at scale.</p><p>· Support hybrid/online delivery models, virtual classrooms, and mobile learning experiences.</p><p>· <strong>Stand up micro‑learning authoring and delivery</strong> (e.g., H5P interactive objects, short video nuggets, adaptive release), mobile notifications, and lightweight refreshers integrated into courses and faculty development.</p><p><strong>Security, Identity & Compliance</strong></p><p>· Enforce platform security standards, roles/permissions, and privacy controls aligned to FERPA/GDPR and institutional policies.</p><p>· Ensure business continuity (backup/restore, DR, monitoring, incident response) and maintain audit readiness.</p><p>· Collaborate with cybersecurity on vulnerability management, penetration testing, remediations, and vendor risk reviews.</p><p><strong><em>Supervisory Responsibilities</em></strong></p><p>· Mentor junior LMS administrators/analysts and student assistants.</p><p>· Facilitate cross‑functional collaboration with IT, academic departments, libraries, QA/assessment, and student success teams.</p><p>· Promote adherence to IT service management and cybersecurity governance across learning systems.</p><p><strong>4. Qualifications & Experience</strong></p><p><strong><em>Required Qualifications</em></strong></p><p>· Bachelor’s degree in Information Systems, Computer Science, Education Technology, or related field (Master’s preferred).</p><p>· Project management certification (PMP/PRINCE2/Agile) strongly preferred.</p><p>· Relevant platform certifications a plus (Blackboard Certified, Moodle Educator/Administrator/Developer, ITIL, accessibility certification such as CPACC).</p><br><p>Technical Skills:</p><p>· Advanced administration of <strong>Blackboard Learn (Original/Ultra)</strong> and <strong>Moodle</strong>, including course/role models, gradebook/assessments, and content standards (SCORM 1.2/2004, xAPI, IMS CC).</p><p>· Integration expertise with SIS, SSO (SAML2, OAuth2), directories (LDAP/AD), messaging/webhooks, and REST APIs; experience with grade passback and automated provisioning.</p><p>· Hands‑on with LTI 1.3/Advantage tool configurations and governance; experience enabling tools such as Turnitin, Respondus, proctoring suites, Panopto/Kaltura, and collaboration platforms.</p><p>· Data management and reporting: SQL, data pipelines, learning analytics (Blackboard Data, Moodle Analytics), dashboarding (Power BI/Tableau).</p><p>· Platform engineering for Moodle (PHP, plugin/theme management, caching, job schedulers, performance tuning) and operational management of Blackboard SaaS releases.</p><p>· Scripting/automation (Python, Bash, PHP/CLI), CI/CD for configuration as code where applicable, and environment management (Linux/AWS/Azure).</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>The Senior Applications Specialist – Learning Systems leads the strategy, delivery, and continuous improvement of the institution’s learning management ecosystem with a primary focus on Blackboard (Learn Original/Ultra) Canvas and Moodle</p><p></p></section>
<ul><li><p>We are looking for an experienced AI Architect responsible for architecting enterprise-wide Generative AI and Agentic AI capabilities across banking systems. The role will define target architecture, integration patterns, standards, reference implementations and reusable building blocks for full-fledged AI chat assistants, autonomous agents and multi-agent workflows.
The AI Architect will lead end-to-end architecture for agentic retail banking journeys such as payments, transfers, servicing, self-service fulfilment and customer assistance, ensuring secure integration with enterprise APIs, middleware, core banking platforms and customer-facing channels across web and mobile.
This role requires deep hands-on AI engineering capability, strong banking domain understanding, practical delivery experience with multiple production-grade banking agents, and the ability to collaborate with product, engineering, infrastructure, cybersecurity, data, governance and enterprise architecture teams to present and align designs through ARB.</p></li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li><p>Minimum Qualification</p><ul><li><p>Bachelor’s or Master’s degree in Computer Science, Software Engineering, Information Technology, Artificial Intelligence, Data Science or a related discipline.</p></li><li><p>Relevant certifications in cloud architecture, AI engineering, security architecture, enterprise architecture or machine learning are preferred.</p></li></ul><p>Minimum Experience</p><ul><li><p>Senior technology professional with around 12+ years of experience across software engineering, architecture, cloud/platform engineering and enterprise solution delivery.</p></li><li><p>Minimum 4+ years of hands-on AI engineering or AI architecture experience, including Generative AI, LLM applications and Agentic AI solutions.</p></li><li><p>Proven experience architecting and delivering multiple banking agents or full-fledged banking chat assistant capabilities integrated with enterprise systems.</p></li><li><p>Strong understanding of banking systems, retail banking journeys, payments, transfers, servicing, customer self-service, operational controls and regulatory/security considerations.</p></li><li><p>Full AI Engineer capability including Python, API integration, microservices, event-driven design, RAG implementation, model/agent evaluation and cloud-native deployment practices.</p></li><li><p>Hands-on experience with agent frameworks and orchestration platforms such as Microsoft Semantic Kernel, AutoGen, LangChain, LangGraph and similar frameworks.</p></li><li><p>Experience architecting MCP servers, tool integration layers, agent-to-agent communication, UI integration patterns and agent interoperability protocols such as MCP, A2A and A2UI.</p></li><li><p>Strong experience with Azure AI services, Azure OpenAI Service, AWS AI services, Amazon Bedrock and related model deployment/management capabilities.</p></li><li><p>Experience designing secure AI systems with zero trust principles, identity and access controls, data protection, secure API design, PII redaction and privacy-by-design controls.</p></li><li><p>Experience presenting solution architecture, trade-off analysis, ADRs and architecture recommendations to ARB or equivalent architecture governance forums.</p></li><li><p>Experience recommending infrastructure architecture for AI platforms including compute, Kubernetes, serverless, vector databases, observability, monitoring, data pipelines and connectivity.</p></li><li><p>Strong capability to collaborate with engineering, product, cybersecurity, infrastructure, operations, data, compliance and enterprise architecture teams.</p></li></ul></li></ul><br><p>Key Technical Skills</p><ul><li><p>Enterprise Agentic AI architecture, multi-agent systems, autonomous workflows, human-in-the-loop design and full-fledged chat assistant architecture.</p></li><li><p>LLMs, prompt engineering, context engineering, memory design, tool/function calling, agent orchestration, model/agent evaluation and cost/latency optimization.</p></li><li><p>RAG architecture, semantic indexing, embeddings, vector databases, retrieval optimization, reranking, grounding, answer relevancy and explainability patterns.</p></li><li><p>MCP server architecture, tool registries, multi-tool integration, A2A, A2UI, agent interoperability protocols and AI ecosystem design.</p></li><li><p>Azure AI, Azure OpenAI, AWS AI services, Amazon Bedrock, Kubernetes, serverless, microservices, APIs, event-driven architecture and observability.</p></li><li><p>Security architecture for AI systems including zero trust, PII redaction, data masking, privacy controls, guardrails, secure logging and auditability.</p></li></ul><p>Behavioural / Leadership Skills</p><ul><li><p>Strategic architecture thinking with the ability to define enterprise standards, influence platform direction and simplify complex technical decisions.</p></li><li><p>Strong stakeholder communication with the ability to present architecture options, risks, trade-offs and recommendations to senior leadership and ARB forums.</p></li><li><p>Collaborative leadership style with the ability to work across business, product, engineering, cybersecurity, data and infrastructure teams.</p></li><li><p>Hands-on problem-solving mindset, pragmatic decision making, ownership, mentoring capability and commitment to high-quality secure delivery.</p></li></ul><p>Technical Competencies</p><ul><li><p>Enterprise Agentic AI architecture and banking-grade AI ecosystem design.</p></li><li><p>Retail banking agent architecture for payments, transfers, servicing and self-service workflows.</p></li><li><p>RAG, memory, context engineering, evaluation, tool orchestration and MCP server architecture.</p></li><li><p>AI security architecture, zero trust, PII redaction, guardrails, auditability and governance.</p></li><li><p>Azure and AWS AI services, cloud-native infrastructure, Kubernetes, serverless and observability for agent platforms.</p></li><li><p>Architecture documentation, ADR creation, ARB presentation and cross-team design governance.</p></li></ul><p>Skills</p><p>AI Architecture</p><p>LLMs</p><p>Azure AI</p>