Python Developer Jobs in UAE

We are looking for a motivated and analytical Data Scientist to join our team. The candidate will be responsible for designing and implementing machine learning models, extracting insights from complex datasets, and collaborating with cross-functional teams to drive data-informed decisions.<br>Key Responsibilities Design, build, and validate machine learning and statistical models Clean, preprocess, and analyze large structured and unstructured datasets Translate business problems into data science solutions and measurable outcomes Develop and maintain data pipelines in collaboration with engineering teams Communicate findings and model performance clearly to technical and non-technical stakeholders Coordinate with senior data scientists and product teams to deploy models into production Stay current with new tools, frameworks, and best practices in the field Maintain accuracy, reproducibility, and quality standards across projects<br>Requirements Bachelor's/Master's degree in Data Science, Computer Science, Statistics, or related field (or equivalent experience)1–6 years of experience in data science, machine learning, or analytics Strong proficiency in Python (Num Py, Pandas, Scikit-learn) and SQLSolid understanding of statistical modeling, machine learning algorithms, and data structures Strong problem-solving skills and ability to work with ambiguous, large-scale data Ability to work independently in a remote setup<br>Preferred Skills Experience with deep learning frameworks (Tensor Flow, PyTorch) Exposure to MLOps practices and model deployment (Docker, cloud ML platforms) Knowledge of NLP, computer vision, or time-series forecasting Experience presenting insights to business/leadership stakeholders

Overview<br><br>The Business Director is a senior leadership role responsible for end to end stewardship of client relationships within the Publicis Groupe ecosystem. The role requires deep understanding of how a modern holding company operates across multiple agencies, verticals, and specialist capabilities while ensuring seamless, integrated delivery to clients.<br><br>This role leads the creation and growth of the Customer Analytics & Insights function. It is a transformational, entrepreneurial position responsible for embedding a data‑driven culture, building governance, setting processes, and coordinating analytics across business units.<br><br>Responsibilities<br><br>Key responsibilities include deploying modern data infrastructure and tools, ensuring data governance, and developing advanced analytics models. The role generates insights across customer segmentation, forecasting, churn prediction, campaign performance, inventory optimization, and customer lifetime value, supporting major functions across Retail, Marketing, Loyalty, Customer Engagement, and Digital. Strong emphasis is placed on presenting insights through compelling data storytelling for senior leadership.<br><br>The position acts as a central partner to executive stakeholders, internal cross‑functional teams, and external vendors. It also focuses heavily on team leadership, recruiting and nurturing analytics talent, and promoting a culture of innovation and continuous improvement<br><br>Qualifications<br><br>Qualifications include extensive experience (15+ years) in analytics, loyalty, big data, and AI, strong technical skills (SQL, Python, R, BI tools, Dataiku), and excellent communication and storytelling capabilities.<br><br>Please note this role is based in Abu Dhabi - for a 12 month contract.<br><br>Arabic is required.<br><br>Additional Information<br><br>R-3973P-4518

Overview<br><br>The Business Director is a senior leadership role responsible for end to end stewardship of client relationships within the Publicis Groupe ecosystem. The role requires deep understanding of how a modern holding company operates across multiple agencies, verticals, and specialist capabilities while ensuring seamless, integrated delivery to clients.<br><br>This role leads the creation and growth of the Customer Analytics & Insights function. It is a transformational, entrepreneurial position responsible for embedding a data‑driven culture, building governance, setting processes, and coordinating analytics across business units.<br><br>Responsibilities<br><br>Key responsibilities include deploying modern data infrastructure and tools, ensuring data governance, and developing advanced analytics models. The role generates insights across customer segmentation, forecasting, churn prediction, campaign performance, inventory optimization, and customer lifetime value, supporting major functions across Retail, Marketing, Loyalty, Customer Engagement, and Digital. Strong emphasis is placed on presenting insights through compelling data storytelling for senior leadership.<br><br>The position acts as a central partner to executive stakeholders, internal cross‑functional teams, and external vendors. It also focuses heavily on team leadership, recruiting and nurturing analytics talent, and promoting a culture of innovation and continuous improvement<br><br>Qualifications<br><br>Qualifications include extensive experience (15+ years) in analytics, loyalty, big data, and AI, strong technical skills (SQL, Python, R, BI tools, Dataiku), and excellent communication and storytelling capabilities.<br><br>Please note this role is based in Abu Dhabi - for a 12 month contract.<br><br>Arabic is required.<br><br>Additional Information<br><br>R-3973P-4518

<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 &amp; 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>

Role: Dev Ops Engineer Location: Remote (Work from Anywhere) Job Type: Full-Time Payout: $200K - $300K/yr<br>Role Overview:We are hiring for one of our clients, seeking a Dev Ops Engineer to design, implement, and maintain scalable cloud infrastructure and CI/CD pipelines. The role involves optimizing system performance and ensuring high availability for mission-critical applications.<br>Key Responsibilities:• Develop and maintain infrastructure as code using Terraform and Ansible to provision cloud resources.• Design, implement, and monitor CI/CD pipelines to enable rapid and reliable software deployments.• Troubleshoot and resolve complex infrastructure and application issues in production environments.• Collaborate with development teams to optimize application performance and scalability.• Implement security best practices, including IAM policies, network security, and compliance controls.<br>Required Skills & Qualifications:• Experience with cloud platforms such as AWS, Azure, or Google Cloud is required.• Proficiency in containerization technologies like Docker and Kubernetes is required.• Strong scripting skills in Python, Bash, or Go are required.• Knowledge of configuration management tools such as Terraform, Ansible, or Chef is required.• Experience with monitoring and logging tools like Prometheus, Grafana, or ELK Stack is required.• Familiarity with networking concepts, including VPC, subnets, and load balancing, is preferred.• Experience with serverless architectures and event-driven computing is a plus.• Understanding of Agile methodologies and Dev Ops best practices is preferred.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Software Development | Technology, Information and Internet | IT Services and IT Consulting | Data Infrastructure and Analytics industry, contributing to the scalability and reliability of cloud-based applications. The position allows for remote work from anywhere, providing flexibility while solving complex technical challenges.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

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.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> 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> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>&nbsp;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>&nbsp;MS Office, Advanced Excel</p></li><li><p><strong>Preferred:</strong>&nbsp;Power Query, Power BI, Python, &amp; 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>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <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 &amp; 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.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Black &amp; Grey HR is partnering with one of the UAE’s established construction and infrastructure companies to hire an experienced Digital Engineer for their Technical &amp; Digital Delivery team. The role will focus on developing, implementing, and supporting digital and computational engineering solutions across projects and business functions within a main contracting environment. The ideal candidate will work across software development, automation, computational design, Power BI, AI-enabled solutions, BIM/data integration, and enterprise applications, ensuring that digital solutions meet business, engineering, quality, security, and performance requirements. <br><br><b>Key Responsibilities:</b><br><br><u>Software Development &amp; System Integration:</u><br><br>- Develop, maintain, and support desktop applications, web applications, engineering tools, APIs, and system integrations using C#, Python, SQL, and related development frameworks.<br><br>- Integrate engineering applications, enterprise platforms, BIM systems, and Microsoft technologies to improve information flow and digital workflows.<br><br>- Support software interoperability and system integration across engineering and business platforms.<br><br><u>Computational Engineering &amp; Design Automation:</u><br><br>- Develop computational engineering workflows using Dynamo, Grasshopper, Python, C#, and other visual programming or scripting technologies.<br><br>- Create parametric and generative design solutions, automated model-checking processes, and design-validation routines.<br><br>- Develop reusable scripts, plugins, macros, add-ins, templates, and internal engineering tools.<br><br>- Support data exchange and interoperability between BIM, design, analysis, planning, and enterprise systems.<br><br><u>Automation &amp; Digital Solutions:</u><br><br>- Develop and maintain RPA, Microsoft Power Platform, Power Automate, Power Apps, and engineering workflow automation solutions.<br><br>- Automate repetitive engineering, data-processing, reporting, document-analysis, and validation activities.<br><br>- Support AI-enabled solutions, digital innovation initiatives, and continuous improvement projects.<br><br><u>Data Analytics &amp; Business Intelligence:</u><br><br>- Develop Power BI dashboards, reports, and data models to support business intelligence, engineering analytics, performance monitoring, and decision-making.<br><br>- Build automated processes for data collection, validation, transformation, and reporting.<br><br>- Analyze engineering and project data to identify trends, performance issues, optimization opportunities, and actionable insights.<br><br><u>Microsoft Platform &amp; Collaboration Solutions:</u><br><br>- Develop and support Microsoft 365, SharePoint, Power Apps, Power Automate, Microsoft Teams, and related applications.<br><br>- Enhance collaboration, information management, engineering workflows, and business process automation through Microsoft technologies.<br><br><u>BIM &amp; Engineering Data Integration:</u><br><br>- Develop and support integrations between BIM models, engineering applications, analytical tools, and structured project data.<br><br>- Support Revit API, Autodesk Platform Services, IFC/open-BIM workflows, and related technologies where required.<br><br><u>Engineering Analysis &amp; Value Engineering Support:</u><br><br>- Support engineering teams with computational analysis of tender documents, project requirements, models, and technical data.<br><br>- Identify design risks, inconsistencies, and optimization opportunities.<br><br>- Develop digital and computational tools to support option studies, design comparisons, constructability reviews, and Value Engineering (VE) assessments.<br><br><u>Stakeholder Support &amp; Solution Delivery:</u><br><br>- Work closely with engineering disciplines, project teams, and business stakeholders to understand requirements and develop suitable digital and computational solutions.<br><br>- Conduct testing, deliver user training, and provide technical support throughout the solution lifecycle.<br><br><u>Quality, Documentation &amp; Continuous Improvement:</u><br><br>- Ensure software, computational workflows, scripts, automation solutions, and reports comply with development, engineering, security, documentation, and quality standards.<br><br>- Maintain source code, scripts, workflows, technical documentation, test records, and version control.<br><br>- Monitor solution performance, prepare progress reports, and identify opportunities for further digital, computational, and process improvements.<br><br></span><br><span>Requirements- Bachelor’s degree in Computer Science, Software Engineering, Computer Engineering, Information Technology, Computational Engineering, or Civil/Structural/Mechanical Engineering with strong programming capability. <br><br>- 3–7 years of experience in software development, digital engineering, computational engineering, automation, or digital transformation initiatives.<br><br>- Experience developing desktop/web applications, engineering tools, APIs, and system integrations using C#, Python, SQL, and related frameworks.<br><br>- Experience developing computational design or engineering automation workflows using Dynamo, Grasshopper, Python, C#, or equivalent technologies.<br><br>- Experience delivering automation solutions using Microsoft Power Platform, Power Automate, Power Apps, RPA, and workflow automation technologies.<br><br>- Strong experience in Power BI, data modelling, data analytics, dashboard development, and automated reporting.<br><br>- Knowledge of parametric/generative design, engineering data integration, automated model validation, software interoperability, and BIM/data workflows.<br><br>- Knowledge of Microsoft 365, SharePoint, Microsoft Teams, and Azure is preferred.<br><br>- Knowledge of SDLC, Git/Azure DevOps, REST APIs, database design, cybersecurity, and structured software development practices.<br><br>- Experience with AI/LLM solutions, OpenAI/Azure AI Services, Revit API, Autodesk Platform Services, IFC/open-BIM workflows, cloud platforms, and Agile methodologies would be an advantage.<br><br></span><br><span>Benefits- Attractive Salary &amp; Benefits<br><br></span><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <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"> Preferred candidate </h2> <div class="row is-m v-align-top t-small bg-mute"> <div class="col is-3 p5" data-automation-id="label_Nationality"> <b>Nationality</b> </div> <div class="col is-9 p5" data-automation-id="data_Nationality"> United Arab Emirates </div> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <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>