Python Developer Jobs in UAE
1448 Jobs Found
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><strong>About the Role:</strong><br><p>We are seeking a motivated Junior Software Developer to join our team in Kerala. In this role, you will contribute to the design, development, and maintenance of our software applications under the guidance of senior developers. You will collaborate with cross-functional teams to deliver high-quality solutions, enhance your technical skills, and support project delivery in a fast-paced environment.</p><br><strong>Responsibilities:</strong><br><ul><li>Write clean, efficient, and maintainable code according to specifications</li><li>Assist in the design and implementation of new features and modules</li><li>Debug, troubleshoot, and resolve software defects and issues</li><li>Participate in code reviews and contribute to team best practices</li><li>Collaborate with QA testers to ensure software quality and performance</li><li>Document code, processes, and updates for future reference</li></ul><br><strong>Required Qualifications:</strong><br><ul><li>Bachelor’s degree in Computer Science, Information Technology, or related field</li><li>0-2 years of hands-on experience in software development</li><li>Proficiency in one or more programming languages (e.g., Java, Python, C#)</li><li>Basic understanding of data structures, algorithms, and software design principles</li><li>Familiarity with relational databases and SQL</li><li>Strong problem-solving skills and attention to detail</li><li>Good verbal and written communication skills</li></ul><br><strong>Preferred Qualifications:</strong><br><ul><li>Experience with version control systems (e.g., Git)</li><li>Familiarity with web frameworks or libraries (e.g., React, Angular, Spring)</li><li>Exposure to Agile/Scrum methodologies</li><li>Internship or project experience in a professional software development environment</li><li>Knowledge of cloud platforms (AWS, Azure, or Google Cloud)</li><li>Certifications in relevant technologies or courses in advanced software topics</li></ul><br></div></section>
<ul><li>Design, implement, and manage robust and scalable cloud infrastructure (AWS, Azure, GCP) ensuring high availability and disaster recovery.</li><li>Automate infrastructure deployment, configuration, and management using Infrastructure as Code (IaC) tools like Terraform and Ansible.</li><li>Monitor system performance, identify bottlenecks, and proactively resolve issues to maintain optimal uptime and efficiency.</li><li>Develop and maintain security best practices, including network segmentation, access controls, and vulnerability management.</li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li>Bachelor's degree in Computer Science, Information Technology, or a related field, or equivalent practical experience.</li><li>Minimum 5 years of hands-on experience in designing, deploying, and managing complex IT infrastructure environments.</li><li>Proven expertise in cloud platforms such as AWS, Azure, or Google Cloud, with relevant certifications (e.g., AWS Certified Solutions Architect, Azure Administrator Associate).</li><li>Proficiency in scripting languages (e.g., Python, Bash) and IaC tools (e.g., Terraform, Ansible, CloudFormation).</li></ul>
<p>Are you passionate about Artificial Intelligence and ready to make an impact? We are looking for talented Emirati professionals to join our team in Abu Dhabi, UAE.</p><p><br><strong>Available Positions:</strong></p><ul><li><p>Machine Learning Engineer</p></li><li><p>Data Scientist</p></li><li><p>AI Software Developer</p></li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li><p>Bachelor’s degree in Computer Engineering, Software Engineering, Computer Science, or a related field.</p></li><li><p>Completion of relevant AI/ML training programs or certifications, including platforms such as AWS Machine Learning, Azure AI, or Google AI, demonstrating applied knowledge and expertise.</p></li><li><p>Minimum 2 years of progressive experience working on AI/ML projects, including model development, deployment, and implementation within the technology sector or related industries.</p></li><li><p>Strong programming skills in Python, R, or Scala, with practical experience using AI frameworks such as TensorFlow, PyTorch, or scikit-learn.</p></li><li><p>Willing to work onsite in Abu Dhabi.</p></li></ul>
<ul><li>Design and implement end-to-end AI solutions, from data ingestion and preprocessing to model deployment and monitoring.</li><li>Develop and optimize machine learning algorithms and deep learning models for various applications, ensuring scalability and performance.</li><li>Build robust APIs and microservices to integrate AI models into existing software architectures and applications.</li><li>Create user-friendly interfaces and dashboards for interacting with AI systems and visualizing model outputs.</li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li><p>System design & architecture (microservices, agent-based systems)</p></li><li><p>REST API & gRPC integration</p></li><li><p>Python backend development</p></li><li><p>Kubernetes/AKS, Helm, progressive delivery (canary/blue-green)</p></li><li><p>Azure cloud services, APIM</p></li><li><p>Semantic Kernel / Microsoft Agent Framework (or similar agent orchestration frameworks) — good to have</p></li><li><p>SSE streaming & async job/task management</p></li><li><p>MongoDB / Cosmos DB</p></li><li><p>Logging, monitoring & observability (Dynatrace, OpenTelemetry — good to have)</p></li><li><p>CI/CD pipelines</p></li><li><p>JWT/OAuth2 authentication patterns</p></li></ul>
<ul><li><p>Install and commission <strong>IoT devices</strong> at customer sites <strong>(mounting, power, connectivity).</strong></p></li><li><p>Carry out routine maintenance visits — <strong>inspection, calibration, sensor and power checks</strong>.</p></li><li><p><strong>Troubleshoot device issues</strong> in the field: power, Wi-Fi/SIM connectivity, sensor faults.</p></li><li><p>Check <strong>device logs and data</strong> on the platform to spot and <strong>diagnose issues.</strong></p></li><li><p>Keep simple records of visits, faults fixed, and spare parts used.</p></li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li><p>ITI, Diploma, or degree in Electronics, Electrical, or a related field (Electronics Engineering preferred).</p></li><li><p>1-3 years of experience or freshers with good learning attitude are encouraged.</p></li><li><p>Basic coding knowledge (Python, Arduino/C, or similar).</p></li><li><p>Familiarity with checking device/system logs is a plus.</p></li><li><p>Good communication skills in English.</p></li><li><p>Willing to travel to sites across the Emirate of Abu Dhabi.</p></li><li><p>UAE driving license preferred (added advantage).</p></li></ul>
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><ul><li>Develop and implement comprehensive risk management strategies specifically for soft oil commodities trading in the Dubai market.</li><li>Conduct daily monitoring and analysis of market price volatility, geopolitical events, and supply/demand dynamics impacting soft oil.</li><li>Design and execute hedging strategies utilizing derivatives (futures, options, swaps) to mitigate price exposure for soft oil portfolios.</li><li>Investigate and report on any identified operational failures or breaches of risk policies, proposing corrective actions.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Bachelor's degree in Finance, Economics, Mathematics, or a related quantitative field.</li><li>Minimum of 5-7 years of progressive experience in risk management within the soft oil or broader energy trading sector.</li><li>Proven expertise in quantitative risk modeling, VaR calculations, and scenario analysis.</li><li>Proficiency in risk management software and data analysis tools (e.g., Excel VBA, Python, R).</li></ul><p></p></section>
Noise exists because culture should be shaped by the people who care about it. We're building a platform where curators and communities surface and value the trends becoming relevant around the world.<br><br>We're a team of 10 based in SoHo, New York. We look for people with great taste who can ship code, design or convey user needs into delightful products.<br><br>DUTIES<br><br>Architect and build backend services and APIs able to handle large-scale traffic and real-time data. Design distributed systems: microservices, message queues, caching, orchestration, Kubernetes & cloud infrastructure. Ensure system scale, performance, reliability, security, and observability (monitoring, logging, alerting). Collaborate across product, front-end, and infrastructure teams to deliver end-to-end solutions. Define and drive best practices for code quality, deployment, infrastructure, and system operations.<br><br>REQUIREMENTS<br><br>3 years of experience as a Software Engineer or similar position in backend (or full-stack) development. Experience with Reactive Architecture principles (CQRS, event sourcing);backend services in Rust;streaming data pipelines in Scala;batch data processing in Python;API microservices in Typescript;DDL and DML SQL statements;analytical SQL queries (window functions, deduplication, CTE, JSON);push-based CDC in Postgres (logical replication);queries for sub-millisecond latency over multi-million row Postgres table;Postgres internals (WAL, TOAST, EXPLAIN);infrastructure as code using Terraform;deployments using Kubernetes;Postgres installations on AWS RDS;developer environments using Nix;Tokio, Axum, SQLx;Flink, Kafka;Pandas, Numpy, Scipy;Node.js, REST, g RPC;asynchronous programming (multiprocessing, multithreading, green threads);synchronization primitives (channels, mutexes, semaphores);BDD, TDD, unit, integration testing, data QA;Postgres dialect of SQL;deploying to AWS;writing Nixpkgs modules.<br>Minimum full-time salary of $180,000. Disclosure in accordance with New York City's Pay Transparency Law. Full Time employees at Noise Labs are also eligible for other compensation elements, including equity and benefits, dependent on the position type.<br><br>Noise exists because culture should be shaped by the people who care about it. We're building a platform where curators and communities surface and value the trends becoming relevant around the world.<br><br>We're a team of 10 based in SoHo, New York. We look for people with great taste who can ship code, design or convey user needs into delightful products.<br><br>DUTIES<br><br>Architect and build backend services and APIs able to handle large-scale traffic and real-time data. Design distributed systems: microservices, message queues, caching, orchestration, Kubernetes & cloud infrastructure. Ensure system scale, performance, reliability, security, and observability (monitoring, logging, alerting). Collaborate across product, front-end, and infrastructure teams to deliver end-to-end solutions. Define and drive best practices for code quality, deployment, infrastructure, and system operations.<br><br>REQUIREMENTS<br><br>3 years of experience as a Software Engineer or similar position in backend (or full-stack) development. Experience with Reactive Architecture principles (CQRS, event sourcing);backend services in Rust;streaming data pipelines in Scala;batch data processing in Python;API microservices in Typescript;DDL and DML SQL statements;analytical SQL queries (window functions, deduplication, CTE, JSON);push-based CDC in Postgres (logical replication);queries for sub-millisecond latency over multi-million row Postgres table;Postgres internals (WAL, TOAST, EXPLAIN);infrastructure as code using Terraform;deployments using Kubernetes;Postgres installations on AWS RDS;developer environments using Nix;Tokio, Axum, SQLx;Flink, Kafka;Pandas, Numpy, Scipy;Node.js, REST, g RPC;asynchronous programming (multiprocessing, multithreading, green threads);synchronization primitives (channels, mutexes, semaphores);BDD, TDD, unit, integration testing, data QA;Postgres dialect of SQL;deploying to AWS;writing Nixpkgs modules.<br>Minimum full-time salary of $180,000. Disclosure in accordance with New York City's Pay Transparency Law. Full Time employees at Noise Labs are also eligible for other compensation elements, including equity and benefits, dependent on the position type.
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Job description
<p></p><br><p><b>Discover the Opportunity</b></p><br><p>We're partnering with an innovative technology organisation that is investing heavily in AI to build next-generation software solutions for enterprise customers.</p><br><p>As the business continues to expand its AI capability, they're looking for a Senior AI Engineer to design, develop, and deploy production-ready AI solutions that solve complex business challenges.</p><br><p>This is a highly hands-on engineering role where you'll take ownership of AI features throughout the full software development lifecycle, working alongside product and engineering teams to deliver scalable, reliable, and commercially impactful solutions.</p><br><p><b><br>Discover the Responsibilities</b></p><br><ul><li><p>Design, develop, and deploy production-grade AI applications using modern machine learning and Generative AI technologies.</p><br></li><li><p>Build scalable AI solutions leveraging LLMs, RAG architectures, and agentic AI frameworks to solve real-world business challenges.</p><br></li><li><p>Collaborate with product and engineering teams to translate business requirements into robust, production-ready solutions.</p><br></li><li><p>Drive technical decision-making, optimise AI systems based on production performance, and promote engineering best practices across the team.</p><br></li></ul><p><b><br>Discover the Requirements</b></p><br><ul><li><p>7+ years of software engineering experience, including significant hands-on experience delivering AI solutions into production.</p><br></li><li><p>Proven track record of building AI-powered products that have been successfully launched and are actively used by customers in live environments.</p><br></li><li><p>Strong expertise in Python, Generative AI, Large Language Models (LLMs), prompt engineering, RAG architectures, and modern AI frameworks such as LangChain or similar.</p><br></li><li><p>Experience building scalable backend services, APIs, and distributed applications using modern software engineering practices.</p><br></li><li><p>Strong understanding of cloud platforms, containerisation, CI/CD, MLOps, and deploying AI applications at scale.</p><br></li><li><p>Experience working with SQL/NoSQL databases, ETL pipelines, and large-scale data processing.</p><br></li><li><p>Excellent communication skills with the ability to work across product, engineering, and business stakeholders.</p><br></li><li><p>A proactive, product-focused mindset with experience working in fast-paced engineering environments and a passion for building AI solutions that deliver real commercial impact.</p><br></li></ul><br>
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<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><p> Enter Custom Internal Job Description</p><br><br><p>Short Description for Internal Candidates</p><p>Executive - Supply Chain - Home Operations</p><p>Description for Internal Candidates</p><p>Homeware Warehouse Operations In-charge: Employee will be responsible for overseeing and managing company's WH operations at HomeBox UAE warehouses, located in DWC. Employee will play crucial role in daily operations, improving efficiency, enhancing customer experience, and executing WH related projects.</p><p>Responsibilities for Internal Candidates</p><ul><li><p>Oversee daily Warehouse (WH) operations, ensuring efficient activities (Inbound, putaway, picking, outbound, store replenishment, return and replacement) under the roof (productivity improvement)</p></li><li><p>Manage SLAs and coordinate with retail/delivery teams to sustain the performance and prompt responses where not meeting targets</p></li><li><p>Ensure best internal customer/store experience via store feedback</p></li><li><p>Implement and maintain manpower planning across all the activities</p></li><li><p>Monitor technology adaption at the warehouse</p></li><li><p>Plan and implement the overall supply chain strategy across Warehouse with the Territory Logistic goal.</p></li><li><p>Identify process bottlenecks, implement solutions for process improvements</p></li><li><p>Work with internal and external stakeholders like IT, Operations, Finance, and vendors to determine and implement Supply Chain KPIs/Projects</p></li><li><p>Conduct frequent audits to ensure process, guidelines and health, safety and environment standards compliance.</p></li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li><p><strong>Experience: Minimum 3-4 years in ground operations (warehouse), preferably in the furniture/homeware industry.</strong></p></li><li><p>Full-Time Graduate – Engineering</p></li><li><p>Full-Time Post - Graduate – MBA from a reputed B School (Supply Chain/Logistics/Operations) – Preferred, Not Mandatory</p></li><li><p>Excellent problem-solving skills, strong communication and data analysis</p></li><li><p>Ability to Negotiate well</p></li><li><p>Ability to think logically</p></li><li><p>Strong decision-making skills and ability to thrive under pressure</p></li><li><p><strong>Must:</strong> MS Office, Advanced Excel</p></li><li><p><strong>Preferred:</strong> Power Query, Power BI, Python, & SAS</p></li></ul><p>Interested candidates are requested to email their profile with the subject line:</p><p>Please include the following details in your email:</p><ul><li><p>Current Role / Designation</p></li><li><p>Total Experience</p></li><li><p>Current Company</p></li><li><p>Current Work Location (UAE / Overseas)</p></li><li><p>Current Visa Status</p></li><li><p>Current Salary</p></li><li><p>Expected Salary</p></li><li><p>Notice Period</p></li><li><p>Updated CV
Subject: Application – E-Commerce Executive</p></li></ul><p></p></section>
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<p><b>Overview of the role</b></p><p>As an Engineer in the Cloud Security Platforms team, you will be supporting the design, implementation, and maintenance of security tools across cloud and hybrid environments. This role focuses on operational support for key security controls while contributing to ongoing security improvement initiatives. You will work closely with experienced engineers and cross-functional teams to integrate security into operations and development workflows. You will build advanced skills and deep experience managing security platforms in a hybrid environment, managing firewalls, Web Application Firewalls (WAFs) and cloud-native security tools.</p><p><br></p><p><b>What you will do</b></p><ul><li>Provide day-to-day operational support for security controls, including network firewalls, web application firewalls, cloud security groups and native cloud security services.</li><li>Participate in monitoring and documenting security incidents, provide incident response and manage escalations appropriately.</li><li>Support vulnerability management processes by maintaining systems and tools to their latest stable releases, participating in remediation efforts and coordinating with governance teams.</li><li>Participate in implanting new controls, automate routine tasks, contribute to security projects, support internal reviews and audits.</li><li>Collaborate with InfraOps, governance, DevOps and business teams to integrate security best practices in IT and business operations.</li></ul><p><br></p> </div><h2 class="h5">Skills</h2>
<div data-jb-field="skills"><p><b>Required Skills to be successful</b></p><ul><li>Strong analytical and problem-solving skills with attention to detail.</li><li>Effective communication and collaboration with technical and non-technical teams.</li><li>Commitment to continuous learning, ability to work independently and in a team setting.</li></ul><p><br></p><p><b>What equips you for the role</b></p><ul><li>Bachelor’s degree in computer science, Information Technology, Cybersecurity or a related field.</li><li>1-3 years of work experience in IT Security, network administration, cloud ops or a similar role.</li><li>Good understanding of cybersecurity principles and cloud platforms (Azure, OCI, AWS) and basic understanding of cloud-native security features such as Defender for Cloud, IAM, Security Groups, Guard Duty, Sentinel.</li><li>Hands-on Exposure to security tools such as firewalls (e.g. Cisco, Palo Alto, Checkpoint, Fortinet), WAF (Cloudflare, f5, Imperva), cloud security controls.</li><li>Basic knowledge of networking concepts, security principles (e.g. Zero Trust, Lease Privilege) and common threats (e.g. DDoS, SQL injection).</li><li>Experience with scripting languages (Python, PowerShell) and automation tools (Terraform) is a plus.</li></ul><p><br></p></div>
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><p>As an Engineer in the Cloud Security Platforms team, you will be supporting the design, implementation, and maintenance of security tools across cloud and hybrid environments. This role focuses on operational support for key security controls while contributing to ongoing security improvement initiatives. You will work closely with experienced engineers and cross-functional teams to integrate security into operations and development workflows. You will build advanced skills and deep experience managing security platforms in a hybrid environment, managing firewalls, Web Application Firewalls (WAFs) and cloud-native security tools.</p><br><p><strong>What you will do</strong></p><ul><li><p>Provide day-to-day operational support for security controls, including network firewalls, web application firewalls, cloud security groups and native cloud security services.</p></li><li><p>Participate in monitoring and documenting security incidents, provide incident response and manage escalations appropriately.</p></li><li><p>Support vulnerability management processes by maintaining systems and tools to their latest stable releases, participating in remediation efforts and coordinating with governance teams.</p></li><li><p>Participate in implanting new controls, automate routine tasks, contribute to security projects, support internal reviews and audits.</p></li><li><p>Collaborate with InfraOps, governance, DevOps and business teams to integrate security best practices in IT and business operations.</p></li></ul><br></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li><p>Strong analytical and problem-solving skills with attention to detail.</p></li><li><p>Effective communication and collaboration with technical and non-technical teams.</p></li><li><p>Commitment to continuous learning, ability to work independently and in a team setting.</p></li></ul><br><p><strong>What equips you for the role</strong></p><ul><li><p>Bachelor’s degree in computer science, Information Technology, Cybersecurity or a related field.</p></li><li><p>1-3 years of work experience in IT Security, network administration, cloud ops or a similar role.</p></li><li><p>Good understanding of cybersecurity principles and cloud platforms (Azure, OCI, AWS) and basic understanding of cloud-native security features such as Defender for Cloud, IAM, Security Groups, Guard Duty, Sentinel.</p></li><li><p>Hands-on Exposure to security tools such as firewalls (e.g. Cisco, Palo Alto, Checkpoint, Fortinet), WAF (Cloudflare, f5, Imperva), cloud security controls.</p></li><li><p>Basic knowledge of networking concepts, security principles (e.g. Zero Trust, Lease Privilege) and common threats (e.g. DDoS, SQL injection).</p></li><li><p>Experience with scripting languages (Python, PowerShell) and automation tools (Terraform) is a plus.</p></li></ul><br><p></p></section>
Job Description for Cloud Platform Engineer Cloud Foundations • Platform Engineering • Automation • Reliability Position Summary The Cloud Platform Engineer is responsible for building, operating, and enhancing cloud platforms that enable secure, scalable, and reliable delivery of cloud services (Iaa S, Paa S, and platform services) to internal teams and government entities. The role focuses on cloud foundations, platform services, automation, reliability, and self-service enablement, working across on-premise sovereign cloud and public cloud platforms. The engineer acts as a core member of the Cloud Platform team, enabling developers, operations, and service delivery teams to consume cloud services efficiently and securely.<br>Core Responsibilities1. Cloud Platform Build & Operations Build, operate, and support cloud platforms across:Sovereign/private cloud Public cloud environments (Azure, AWS, Oracle OCI – as applicable) Deploy and manage shared cloud services such as:Compute, storage, and networking services Identity and access integrations Monitoring, logging, and observability platforms Ensure platform stability, scalability, and high availability.2. Cloud Foundations & Landing Zones Implement and operate cloud landing zones including:Account/subscription structures Network segmentation and connectivity Security baselines and guardrails Logging, monitoring, and auditing Enforce platform standards, templates, and best practices.<br>3. Automation & Infrastructure as Code Build and maintain automation using:Terraform / Bicep / Cloud Formation Ansible and scripting (Python, Bash, Power Shell) Develop reusable modules and templates for:Platform provisioning Environment setup (Dev/Test/Prod) Self-service consumption Support Git Ops and CI/CD integration for platform changes.<br>4. Platform Security & Governance Implement cloud security controls:IAM, RBAC, least privilege Network security and segmentation Encryption at rest and in transit Secure secrets and key management Ensure compliance with:Government security standards Cloud security best practices Organizational governance frameworks<br>5. Reliability, Monitoring & Operations Implement monitoring, logging, and alerting for platform components. Participate in incident response, root cause analysis, and remediation. Improve platform reliability through:Automation Standardization Proactive monitoring Support DR, backup, and resilience testing for cloud platforms.<br>6. Enablement & Service Consumption Enable application, Dev Ops, and service delivery teams to consume cloud platforms. Provide technical guidance, documentation, and onboarding support. Support migration and onboarding of workloads to cloud platforms. Act as L3 support for complex cloud platform issues.<br>7. Documentation & Continuous Improvement Maintain clear documentation for:Platform architecture Standard operating procedures (SOPs) Automation modules Service catalogs and usage guides Continuously improve platform services based on feedback and metrics.<br>Required Experience5-8 years of experience in cloud engineering, platform engineering, or infrastructure roles. Hands-on experience with at least one major cloud provider:Azure (preferred), AWS, or Oracle OCIExperience building and operating shared cloud platforms. Strong background in Linux and cloud networking fundamentals.<br>Skills & Competencies Technical Skills Cloud services (compute, networking, storage, IAM). Infrastructure as Code (Terraform, Bicep, Cloud Formation). Automation and scripting (Python, Bash, Power Shell). Monitoring and observability tools. Understanding of containers and Kubernetes is an advantage. Soft Skills Strong problem-solving and troubleshooting skills. Ability to work across multiple teams and stakeholders. Clear documentation and communication skills. Ownership mindset and operational discipline.<br>Preferred Certifications Azure Administrator / Azure Engineer Associate AWS Sys Ops Administrator Oracle OCI Associate/Professional Terraform Associate ITIL v4 Foundation (advantage)<br>Key Deliverables Stable and secure cloud platform environments. Automated and standardized cloud provisioning. Documented cloud standards and operational runbooks. Improved reliability and reduced manual operations. Faster onboarding of workloads and teams.<br>KPIsCloud platform availability and stability. Automation coverage and reduction in manual tasks. Mean Time to Recover (MTTR) for platform incidents. Adoption rate of standardized platform services. Compliance with cloud governance and security baselines.<br>Reporting Line Reports to: Head of Cloud Platform Works closely with:Cloud Architects, Dev Ops, Security, Infrastructure, Service Management, and Service Delivery teams.`
About Us<br><br>Dyson's Test & Quality Assurance ensures the products we sell represent the high Quality and Reliability of the Dyson brand, by using the world class techniques to implement automated methods of testing. This can involve simulating elements of the product to allow testing of all scenarios, to using image recognition or advanced technologies for automatic identification of elements displayed on the user interface. Quality is ensured and actively maintained during the Scaled Agile Framework development process by our QMS experts, and accepting customer correspondence to improve future products. Our labs allow unattended testing of partial to full products including moving robots, allowing the team to work remotely.<br><br>About The Role<br><br>Lead and manage home (alpha) test initiatives to capture issues at product development early stage and assess product performance in real-world conditions. Validate lab test outcomes against design quality to ensure seamless integration. Analyse in-life product quality and other data streams to develop actionable insights. Build and drive a leading quality dashboard that functions as an early indicator for both software and hardware quality (SWHWPS). Develop robust product-level test specifications and perform detailed product level requirement analytics. Ensure detailed and accurate test specifications are ready and aligned before Target Set milestones, supporting design and engineering teams from concept through production post launch. Drive innovations in test methodologies, including the application of AI/ML and advanced data analytics to enhance detection reliability and test efficiency. Act as a technical authority within the Test & QA team, collaborating with Development, Operations, Quality and Design teams to integrate test processes seamlessly into the product development lifecycle. Report projects test progress & software quality status to senior stakeholders and ensure clear communication across teams.<br><br><br>About You<br><br>Minimally 7 years product quality or software test relevant experience. Bachelor’s or Master’s degree in computer engineering / Electronic Engineering, or related fields. Highly proficient in Python for data manipulation and statistical analysis. You have hands-on experience using libraries such as Pandas and Num Py for data processing, and Matplotlib, Seaborn, or Plotly for creating automated quality visualizations. Skilled in building professional, automated dashboards using tools such as Tableau or Power BI. You can translate raw Python-processed data into intuitive visual interfaces for senior leadership tracking. Proficient in SQL for querying complex datasets and experienced in working with modern cloud data platforms like AWS Redshift. Possess a strong understanding of electronics hardware, its interfacing to software systems. Knowledge of software in IOT products, such as embedded, app, cloud and ML. Excellent written and verbal communication skills, capable of presenting complex technical information clearly to executives and non-technical leaders. Strong ability to multi-task across multiple product deliverables and manage multiple schedules simultaneously.<br><br><br>Benefits<br><br>Dyson monitors the market to ensure competitive salaries and bonuses. Beyond that, you’ll enjoy a transport allowance and comprehensive medical care and insurance. But financial benefits are just the start of a Dyson career. Professional growth, leadership development and new opportunities abound, driven by regular reviews and dynamic workshops. And with a vibrant culture, the latest devices and a relaxed dress code reflecting our engineering spirit, it’s an exciting team environment geared to fuelling and realising ambition.<br><br>Dyson is an equal opportunity employer. We know that great minds don’t think alike, and it takes all kinds of minds to make our technology so unique. We welcome applications from all backgrounds and employment decisions are made without regard to race, colour, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other any other dimension of diversity.
About Us<br><br>Dyson's Test & Quality Assurance ensures the products we sell represent the high Quality and Reliability of the Dyson brand, by using the world class techniques to implement automated methods of testing. This can involve simulating elements of the product to allow testing of all scenarios, to using image recognition or advanced technologies for automatic identification of elements displayed on the user interface. Quality is ensured and actively maintained during the Scaled Agile Framework development process by our QMS experts, and accepting customer correspondence to improve future products. Our labs allow unattended testing of partial to full products including moving robots, allowing the team to work remotely.<br><br>About The Role<br><br>Lead and manage home (alpha) test initiatives to capture issues at product development early stage and assess product performance in real-world conditions. Validate lab test outcomes against design quality to ensure seamless integration. Analyse in-life product quality and other data streams to develop actionable insights. Build and drive a leading quality dashboard that functions as an early indicator for both software and hardware quality (SWHWPS). Develop robust product-level test specifications and perform detailed product level requirement analytics. Ensure detailed and accurate test specifications are ready and aligned before Target Set milestones, supporting design and engineering teams from concept through production post launch. Drive innovations in test methodologies, including the application of AI/ML and advanced data analytics to enhance detection reliability and test efficiency. Act as a technical authority within the Test & QA team, collaborating with Development, Operations, Quality and Design teams to integrate test processes seamlessly into the product development lifecycle. Report projects test progress & software quality status to senior stakeholders and ensure clear communication across teams.<br><br><br>About You<br><br>Minimally 7 years product quality or software test relevant experience. Bachelor’s or Master’s degree in computer engineering / Electronic Engineering, or related fields. Highly proficient in Python for data manipulation and statistical analysis. You have hands-on experience using libraries such as Pandas and Num Py for data processing, and Matplotlib, Seaborn, or Plotly for creating automated quality visualizations. Skilled in building professional, automated dashboards using tools such as Tableau or Power BI. You can translate raw Python-processed data into intuitive visual interfaces for senior leadership tracking. Proficient in SQL for querying complex datasets and experienced in working with modern cloud data platforms like AWS Redshift. Possess a strong understanding of electronics hardware, its interfacing to software systems. Knowledge of software in IOT products, such as embedded, app, cloud and ML. Excellent written and verbal communication skills, capable of presenting complex technical information clearly to executives and non-technical leaders. Strong ability to multi-task across multiple product deliverables and manage multiple schedules simultaneously.<br><br><br>Benefits<br><br>Dyson monitors the market to ensure competitive salaries and bonuses. Beyond that, you’ll enjoy a transport allowance and comprehensive medical care and insurance. But financial benefits are just the start of a Dyson career. Professional growth, leadership development and new opportunities abound, driven by regular reviews and dynamic workshops. And with a vibrant culture, the latest devices and a relaxed dress code reflecting our engineering spirit, it’s an exciting team environment geared to fuelling and realising ambition.<br><br>Dyson is an equal opportunity employer. We know that great minds don’t think alike, and it takes all kinds of minds to make our technology so unique. We welcome applications from all backgrounds and employment decisions are made without regard to race, colour, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other any other dimension of diversity.
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<p>Field Engineering teams across AWS are building AI-enabled workflows to accelerate investigations, automate repetitive tasks, improve reporting, and develop scalable engineering tooling. These efforts are happening organically — driven by motivated engineers across regions. The opportunity now is to systematically scale what's working and embed dedicated AI integration capability directly within each regional Field Engineering team.<br>The Forward Deployed AI Integrator will be 100% focused on AI integration for their assigned region. This role embeds directly with regional FE teams to identify high-value workflow opportunities, drive hands-on adoption of AI-assisted tooling, and convert successful experiments into repeatable regional standards. The role partners with FE engineers, regional leads, and cross-functional GenAI platform teams to deliver measurable productivity outcomes within the region.<br>This is a hands-on execution role — not advisory. Success is measured by workflows transformed, engineering hours saved, and adoption driven within the region.<br>Key job responsibilities<br>Embed directly with regional Field Engineering teams to identify, prioritize, and accelerate the highest-value AI workflow opportunities<br>Drive adoption of AI-assisted workflows across investigations, reporting, operational analysis, and engineering tooling within the assigned region<br>Partner with FE engineers to replace manually intensive workflows with scalable, reusable AI-enabled solutions<br>Build and document reusable workflow patterns, templates, and lightweight operational playbooks for regional FE adoption<br>Work with GenAI platform teams and internal tooling teams to accelerate delivery of FE AI initiatives within approved deployment environments<br>Coach and enable FE engineers on practical, approved AI tools including Python-based tooling, Kiro, and internal AI platforms<br>Track and report adoption metrics and operational KPIs to regional and senior FE leadership<br>Identify opportunities to eliminate duplicated effort and share reusable capabilities across regional FE teams<br>Contribute to the broader FE AI integration community by sharing learning, patterns, and outcomes across regions<br>Support development of FE-led initiatives including waveform analytics, reporting automation, engineering tooling, and operational dashboards<br>A day in the life<br>You are embedded in the regional Field Engineering team — working alongside engineers during live investigations, building automation patterns, and coaching ICs on workflow adoption. You spend your time identifying what's slowing engineers down, prototyping AI-assisted solutions, and driving adoption of what works.<br>You are a dedicated member of the regional team, accountable for making AI integration real and measurable. You bring technical depth, operational curiosity, and a bias for action. You move fast, learn from what you build, and share what works with the broader FE AI integration community.<br>You are known in your region as the person who makes AI practical — and delivers it.<br>About the team<br>Field Engineering supports critical operational functions across global AWS infrastructure. The organization spans multiple engineering disciplines and regions — covering operational investigations, electrical and mechanical systems, tooling development, reporting, commissioning, troubleshooting, operational analytics, and process improvement.<br>The team is actively building AI-enabled workflows to improve operational efficiency and accelerate engineering execution. This role is one of three initial regional AI integration positions, designed to prove the model and scale it across all FE regions.<br>- Bachelor's degree or above in computer science, machine learning, engineering, or related fields, or experience in a ML or data scientist role with a large technology company<br>- 3+ years of technical program management experience<br>- experience working with or evaluating AI systems<br>- experience in data center engineering or operations, or experience in project management<br>- experience in creating process improvements with automation and analysis, or experience working with large-scale data mining and reporting tools (i.e. SQL, MS Power Query, Python<br>- Experience leading and influencing your team or organization, or experience leading engineering teams as a mentor or tech lead<br>- Experience communicating results to senior leadership, or experience communicating complex information and solutions to senior stakeholders and influencing decisions<br>Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.</p><br> </div><h2 data-automation-id="subHeaderPreferredCandidate" class="h5">
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<span>ABOUT US | Whiteshield is a global advisory firm operating at the intersection of strategy, public policy, and digital transformation.<br> We partner with governments and leading enterprises to design and deliver initiatives that drive economic competitiveness, digital enablement and long-term growth.<br> Our work combines strategic advisory with hands-on execution.<br> Unlike traditional consultancies that focus solely on recommendations we remain engaged through implementation ensuring transformation is not only designed but realised.<br> As our digital portfolio continues to expand we are strengthening our technical support capability to ensure the products and platforms we deliver remain reliable, scalable and provide exceptional experiences for our clients and end users .<br> WHERE YOU FIT IN | We are looking for a Technical Product Support Engineer to act as the bridge between engineering, operations, and users.<br> You will be responsible for investigating issues, diagnosing defects and ensuring incidents are effectively resolved.<br> This is not a traditional IT helpdesk role.<br> You will work closely with software engineers and product teams using technical tools and analytical skills to understand root causes and drive resolution.<br> You will be comfortable navigating databases, reviewing logs, reproducing bugs and supporting deployments across multiple environments.<br> You will need to thrive in fast-paced environments, enjoy solving complex problems and have a passion for delivering high-quality digital experiences.<br> WHAT YOU WILL DO | ❖ Investigate and troubleshoot application issues, defects and incidents ❖ Reproduce bugs and work with engineering teams to identify root causes ❖ Analyse logs, APIs, databases and system behaviour to support issue resolution ❖ Monitor application health and proactively identify risks and trends ❖ Support software releases and post-deployment activities ❖ Manage technical escalations and ensure issues are resolved within agreed timelines ❖ Collaborate with Product, Engineering, QA and Operations teams to improve system stability ❖ Document findings, root causes and solutions to build knowledge storehouses ❖ Support continuous improvements to support processes and operational practices ❖ Contribute to incident reviews and help prevent recurring issues ❖ Provide technical insights and recommendations to improve product reliability and user experience OUR CORE TECH STACK (Flexible) | ❖ Backend: C# / .<br>NET / Python ❖ Frontend: React / Next.<br>js ❖ Databases: MSSQL, PostgreSQL, Elasticsearch, MongoDB ❖ Cloud: Azure or Google Cloud ❖ Dev Tools: Git, Docker, CI/CD pipelines ❖ Ticketing and Collaboration: Jira, Azure DevOps, Confluence, Teams WHAT WILL MAKE YOU SUCCESSFUL | The successful candidate enjoys operating in a fast-moving environment where no two days are the same.<br> They remain composed under pressure, adapt quickly to changing priorities and take pride in staying one step ahead.<br> They are resourceful, dependable and confident working with senior leaders and external stakeholders while maintaining the highest levels of professionalism and confidentiality.<br> PERKS AND OPPORTUNITIES | Accelerated Career Trajectory We operate a performance-driven environment with clear progression pathways Seamless Relocation For those relocating - we provide comprehensive transition support including visa sponsorship and relocation assistance enabling you to integrate quickly and focus on delivery from day one.<br> Supporting Your Performance We provide Tier 1 global medical coverage, wellbeing support, family allowances where applicable and structured savings plans.<br> Helping Teams Perform We work on complex high-impact engagements that demand intensity and ownership.<br> At the same time we are mindful of the impact this can have and aim to support sustainable performance over time through offering generous annual leave, flexible work arrangements and opportunities to connect beyond the day-to-day through retreats and team events.<br> WHAT YOU’LL BRING | ❖ 3-6 years of experience in Application Support, Product Support, Technical Support, Software Engineering or DevOps roles ❖ Strong troubleshooting and analytical skills ❖ Experience working with APIs, logs and databases ❖ Ability to write SQL queries and investigate data issues ❖ Familiarity with REST APIs and tools such as Postman ❖ Understanding of software development lifecycles and Agile delivery practices ❖ Experience working with ticketing systems and incident management processes ❖ Strong communication skills and the ability to collaborate across technical and non-technical teams ❖ A proactive mindset with a strong sense of ownership and accountability Bonus Points For: ❖ Experience supporting enterprise or government digital platforms ❖ Familiarity with .<br>NET applications and Azure environments ❖ Experience with monitoring tools such as Application Insights, Grafana or Kibana ❖ Exposure to CI/CD pipelines and release management ❖ Scripting experience with Python or PowerShell ❖ Previous consulting or client-facing experience</span> </div>
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><ul><li><p>Proficient in SQL, SSIS, Python, Power BI, ETL development and validation</p></li><li><p>Hands on experience in data analysis tools and database development</p></li><li><p>Experience in conducting data profiling, data quality, data lineage and data completeness</p></li><li><p>Understanding of customer onboarding, and domestic/cross-border (SWIFT) payment gateways, payment types, tags</p></li><li><p>Experience in fine tuning of Sanctions screening systems (Fircosoft/Safewatch/Omni/Siron)</p></li><li><p>Experience in sanctions screening system validation (Fircosoft/Safewatch/Omni/Siron), fine-tuning, list management, name and payment screening processes, screening exclusions and project management.</p></li></ul><p><br></p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Bachelor's degree in Finance, Economics, Computer Science, Data Science, or a related field.</li><li>Minimum of 3-5 years of experience in sanctions screening, AML, or financial crime compliance.</li><li>Proficiency in SQL for data querying and manipulation is essential.</li><li>Experience with data visualization tools (e.g., Tableau, Power BI) for reporting and analysis.</li></ul><p></p></section>
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><p>Design, develop, and maintain robust, scalable web applications using React.js for the front-end and Node.js for the back-end. </p><p>Develop and integrate robust RESTful APIs and services to support front-end functionality. Collaborate with cross-functional teams, including UI/UX designers, product managers, and other developers, to define, design, and ship new features</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Bachelor's degree in Computer Science, Software Engineering, or a related field is preferred.</li><li>Proficiency in front-end technologies including HTML, CSS, JavaScript, and frameworks like React or Angular.</li><li>Solid understanding of back-end technologies such as Node.js, Python, Ruby, or Java, with experience in building APIs.</li><li>Familiarity with cloud services like AWS, Azure, or Google Cloud Platform for deploying and managing applications.</li><li>Experience with database management systems, both SQL (MySQL, PostgreSQL) and NoSQL (MongoDB, Firebase).</li></ul><p></p></section>
<p><h4>Minimum qualifications:</h4>
<p><strong>Bachelor’s degree</strong> in engineering, computer science, a related field, or equivalent practical experience.<br>
3 years of experience in building and shipping production-grade AI-driven solutions to external or internal customers using Python, TypeScript, or similar languages.<br>
Experience managing technical discovery sessions with business stakeholders and engineering teams to define AI and hardware infrastructure requirements.<br>
Experience architecting AI systems on cloud platforms (e.g., Google Cloud Platform (GCP)).<br>
Experience building pipelines for structured and unstructured data, incorporating vector databases and retrieval-augmented generation (RAG) architectures.</p>
<h4>Preferred qualifications:</h4>
<p><strong>Master’s degree or PhD</strong> in AI, computer science, or a related technical field.<br>
Experience implementing multi-agent systems using frameworks (e.g., LangGraph, CrewAI, or Google’s ADK) and patterns like ReAct, self-reflection, and hierarchical delegation.<br>
Knowledge of LLM-native metrics (tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing.</p></p><p></p>
Job Description<br><br>Founded in 2014, Circles is a global technology company reimagining the telco industry with its innovative Saa S platform, empowering telco operators worldwide to effortlessly launch innovative digital brands or refresh existing ones, accelerating their transformation into techcos.<br><br>Today, Circles partners with leading telco operators across multiple countries and continents, including KDDI Corporation, Etisalat Group (e&), AT&T, and Telkomsel, creating blueprints for future telco and digital experiences enjoyed by millions of consumers globally.<br><br>Besides its Saa S business, Circles operates three other distinct businesses:<br><br>Circles. Life: A wholly-owned digital lifestyle telco brand based in Singapore, Circles. Life is powered by Circles’ Saa S platform and pioneering go-to-market strategies. It is the digital market leader in Singapore and has won numerous awards for marketing, customer service, and innovative product offerings beyond connectivity. Circles Aspire: A global provider of Communications Platform-as-a-Service (CPaa S) solutions. Its cloud-based Experience Cloud platform enables enterprises, service providers and developers to deliver and scale mobile, messaging, IoT, and connectivity services worldwide. Jetpac: Specializing in travel tech solutions, Jetpac provides seamless e SIM roaming for over 200 destinations and innovative travel lifestyle products, redefining connectivity for digital travelers. Jetpac was awarded Travel e SIM of the Year.<br><br>Circles is backed by renowned global investors, including Peak XV Partners (formerly Sequoia), Warburg Pincus, Founders Fund, and EDBI (the investment arm of the Singapore Economic Development Board), with a track record of backing industry challengers.<br><br>About The Role<br><br>We are looking for a data-savvy and detail-oriented CVM Analyst to support the customer value management engine for our new digital telco brand in the MENA region. This role plays a key part in driving customer engagement, retention, and monetization by translating complex data into actionable insights, launching targeted lifecycle campaigns, and continuously optimizing performance across key CVM KPIs.<br><br>The ideal candidate brings hands-on experience in customer segmentation, campaign analytics, and lifecycle marketing, along with strong technical capabilities in SQL, Python / R, and BI tools.<br><br>What You’ll Be Responsible For<br><br>Lifecycle campaign execution: Support the design, launch, and tracking of customer lifecycle campaigns across digital, contextual, and outbound channels, such as targeting acquisition, in-life management, churn prevention, and reactivation CVM execution: Assist in the execution of data-driven CVM strategies to increase ARPU and reduce churn by identifying up-sell and cross-sell opportunities through deep behavioral analysis Performance monitoring: Build and maintain campaign performance trackers for various lifecycle stages and monitor KPIs to flag deviations, trends, and anomalies Advanced analytics & modeling: Partner with data teams to co-develop churn prediction models, customer propensity models, and micro-segmentation frameworks Channel optimization: Recommend the most efficient use of touchpoints by analyzing engagement rates across SMS, push, email, IVR, and digital placements Reporting & insight generation: Leverage SQL, Python/R, and BI tools (Power BI, Tableau, Looker, Qlik) to generate insight-rich dashboards and campaign reports for internal stakeholders Data integration: Work with data engineering and IT teams to ensure timely availability and accuracy of data pipelines supporting campaign execution and performance measurement.<br><br>What We’re Looking For<br><br>3-4 years of experience in B2C telco CVM, lifecycle marketing, or customer analytics roles Bachelor’s degree in Data Science, Business, Computer Science, Economics, or a related field; Master’s degree is a plus Proficiency in SQL and at least one scripting language (Python or R) is required Advanced skills in data visualization and reporting tools (e.g., Power BI, Tableau, Looker, Qlik) Familiarity with CRM systems, campaign management platforms, and marketing automation tools Experience working with cloud-based data ecosystems, ETL processes, and large-scale data sets is preferred Strong business acumen with the ability to translate data into clear, actionable commercial insights Excellent communication and stakeholder management skills, with the confidence to work cross-functionally in a fast-paced, high-growth environment<br><br>Circles is committed to a diverse and inclusive workplace. We are an equal opportunity employer and do not discriminate on the basis of race, national origin, gender, disability or age.<br><br>Data Protection and Privacy Statement <br><br>By submitting an application for this position, you, as the applicant, or your authorised representative(s), consent to Circles’ Candidate Data Protection and Privacy Policy. You also agree to the collection, use, and/or disclosure of your personal data by us solely for recruitment purposes as specified in the Policy. You acknowledge that you have read and understood the Policy, are aware of your rights regarding your personal data, and accept the terms relating to international data transfers, where applicable. You further understand that you may withdraw consent at any time, which may affect our ability to consider your application. In instances where your personal data or application is submitted by a third party, it is understood that such third party has been duly authorised by you to disclose the relevant personal data and provide consent on your behalf, and that you have been made aware of this Policy.<br><br>To all recruitment agencies: Circles will only acknowledge resumes shared by recruitment agencies if selected in our preferred supplier partnership program.<br><br>Please do not forward resumes to our jobs alias, Circles, employees or any other company location. Circles will not be held accountable for any fees related to unsolicited resumes not uploaded via our ATS.<br><br>Job Details<br><br>Role Level: Not Applicable Work Type: Full-Time Country: United Arab Emirates City: Dubai Company Website: https://www.circles.co/ Job Function: Marketing Company Industry/<br><br>Sector: Other<br><br>What We Offer<br><br>About The Company<br><br>Searching, interviewing and hiring are all part of the professional life. The TALENTMATE Portal idea is to fill and help professionals doing one of them by bringing together the requisites under One Roof. Whether you're hunting for your Next Job Opportunity or Looking for Potential Employers, we're here to lend you a Helping Hand.<br><br>Report<br><br>Disclaimer: talentmate.com is only a platform to bring jobseekers & employers together. Applicants are advised to research the bonafides of the prospective employer independently. We do NOT endorse any requests for money payments and strictly advice against sharing personal or bank related information. We also recommend you visit Security Advice for more information. If you suspect any fraud or malpractice, email us at abuse@talentmate.com.