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azure devops data engineer

Mindstream

Proven experience with Azure DevOps and implementing CI/CD pipelines.<ul><li>Strong knowledge of Azure data services, specifically Azure Databricks and Azure Data Factory.</li><li>Proficiency in Databricks Asset Bundle for Databricks Ci/CD.</li><li>Experience with scripting and automation tools (e.g., PowerShell, Python).</li><li>Experience in implementing selective deployment for ADF data pipelines.</li><li>Understanding of containerization and orchestration tools (e.g., Docker, Kubernetes) is a plus.</li><li>Excellent problem-solving skills and ability to troubleshoot complex CI/CD issues.</li><li>Strong communication skills and ability to collaborate effectively with cross-functional teams.</li><li>Knowledge of security best practices for CI/CD pipelines and Azure environments.</li><li>Detail-oriented with a focus on delivering high-quality, reliable automation solutions.</li><li>Bachelor's degree in Computer Science, Information Technology, or related field.</li><li>Minimum of 5 years of experience in DevOps or related roles.</li></ul>Job Type: Full-timeApplication Question(s):<ul><li>How many years of experience do you have working with Azure DevOps?</li><li>Do you have hands-on experience in implementing CI/CD pipelines for Azure data projects?</li><li>Have you worked with Azure Databricks and Azure Data Factory (ADF)?</li><li>Are you familiar with Databricks Asset Bundle for Databricks CI/CD?</li><li>How many years of experience do you have with Python or PowerShell scripting?</li><li>Have you implemented selective deployment for ADF pipelines?</li><li>What is your current and expected salary?</li><li>What is your notice period or earliest joining availability?</li></ul>

Azure DevOps (Data) Engineer

Codvo.ai

<div><div><div>DevOps Engineer (Category &ndash; Senior Engineer)
Sector: Oil and Gas
Location: Doha, Qatar<div></div><div> 
At Codvo, software and people transformations go hand-in-hand. We are a global empathy-led technology services company where product innovation and mature software engineering are embedded in our core DNA. Our core values of Respect, Fairness, Growth, Agility, and Inclusiveness guide everything we do. We continually expand our expertise in digital strategy, design, architecture, and product management to offer measurable results and outside-the-box thinking.</div> 
Job Description:
The DevOps Engineer will design, implement, and maintain modern cloud-native infrastructure and continuous integration/continuous delivery (CI/CD) pipelines across enterprise and industrial digital platforms. This role combines software engineering, system administration, automation, and operations to deliver high-performing, scalable, and secure infrastructure supporting the organization&rsquo;s data and AI initiatives.
The engineer will collaborate closely with data engineers, software developers, cloud architects, and cybersecurity teams to ensure consistent, automated, and compliant cloud deployments within a multi-cloud (Azure and GCP) environment. 
Key Responsibilities:
Cloud Infrastructure &amp; Automation<ul><li>Design, build, and manage cloud infrastructure (Azure and GCP) using Infrastructure-as-Code (IaC) tools such as Terraform, ARM templates, and Ansible.</li><li>Automate provisioning, scaling, and configuration of compute, storage, and networking resources.</li><li>Implement and maintain container orchestration platforms such as Kubernetes, OpenShift, and Docker Swarmfor scalable deployments.</li><li>Develop and maintain GitOps workflows using Azure DevOps, GitHub Actions, or Jenkins for automated CI/CD processes.</li><li>Integrate infrastructure automation with Microsoft Graph, REST APIs, and ServiceNow for operational efficiency.</li></ul>
CI/CD Pipeline Development<ul><li>Design and manage end-to-end CI/CD pipelines for application, data, and AI workloads.</li><li>Automate build, test, and deployment processes across environments (Dev, Test, Prod).</li><li>Integrate pipelines with code scanning, static analysis, and container security tools (e.g., Snyk, Aqua, Prisma Cloud).</li><li>Implement blue-green and canary deployments to ensure zero-downtime releases.</li></ul>
Monitoring, Observability &amp; Reliability<ul><li>Implement comprehensive monitoring, logging, and alerting using Azure Monitor, Log Analytics, Prometheus, Grafana, and ELK Stack.</li><li>Develop automated alerts and dashboards for real-time performance, resource utilization, and cost monitoring.</li><li>Participate in incident response, root cause analysis, and performance optimization of infrastructure and pipelines.</li></ul>
Security, Compliance &amp; Governance<ul><li>Work closely with the cybersecurity team to integrate security-as-code and compliance controls within DevOps workflows.</li><li>Manage secrets, keys, and credentials using Azure Key Vault, and HashiCorp Vault.</li><li>Ensure compliance with ISO 27001, NIA Qatar, CIS Benchmarks, and corporate governance standards.</li><li>Implement network security controls (NSGs, firewalls, WAFs, VNETs) and enforce Zero Trust principles across CI/CD deployments.</li><li>Collaboration &amp; Continuous Improvement</li><li>Partner with Data Science and AI teams to operationalize model training and deployment pipelines (MLOps).</li><li>Collaborate with development teams to containerize and deploy cloud-native applications.</li><li>Identify and implement process improvements to enhance release velocity and reduce deployment risk.</li><li>Stay abreast of emerging technologies and DevOps trends to continuously evolve automation maturity.</li></ul><div></div> 
Required Skills and Qualifications:<ul><li>Bachelor's degree in computer science, Engineering, or related field (or equivalent professional experience).</li><li>10+ years of experience as a DevOps Engineer or Cloud Infrastructure Engineer in enterprise or industrial environments.</li><li>Proven expertise in CI/CD pipelines, automation, and cloud-based infrastructure.</li><li>Strong hands-on experience with at least one major cloud provider.</li><li>Infrastructure as Code: Terraform, Ansible, ARM Templates, CloudFormation.</li><li>CI/CD Tools: Azure DevOps, Jenkins, GitHub Actions, GitLab CI.</li><li>Containers &amp; Orchestration: Docker, Kubernetes, OpenShift.</li><li>Scripting &amp; Programming: Python, PowerShell, Bash, YAML.</li><li>Monitoring &amp; Observability: Azure Monitor, Log Analytics, Prometheus, Grafana, ELK Stack.</li><li>Version Control &amp; Collaboration: Git, GitHub, Azure Repos, Bitbucket.</li><li>Cloud Services Knowledge:</li></ul>
o Compute (VMs, Functions, App Services)
o Storage (Blob, S3, GCS)
o Networking (VPCs/VNets, Load Balancers, VPNs, ExpressRoute)
o Security (Key Vault, IAM, Defender for Cloud)<ul><li>Good understanding of networking principles, cloud security, load balancing, and microservices architecture.</li><li>Experience in automation of monitoring, scaling, and deployments across hybrid cloud environments.</li></ul>
Preferred Qualifications:<ul><li>Experience in the Oil &amp; Gas industry or other energy sectors.</li><li>Knowledge of DevOps best practices and methodologies, including Agile and Scrum.</li><li>Certifications in cloud platforms (e.g., GPC Certified DevOps Engineer, Azure DevOps Engineer Expert).</li></ul></div></div></div>

DevOps Engineer

Dataline

Cloud &amp; DevOps Engineer (On-site, Qatar)Company InformationCompany: DataLine (dataline-qa.com)Location: Lusail, Qatar (On-site or Relocation Required)Experience Level: Mid/Senior (5+ Years)Employment Type: Full-TimeAbout DataLineDataLine delivers secure, scalable, and high-performance digital platforms for government and enterprise clients across the GCC. Our engineering focus is centered on Azure cloud technologies, automation, DevOps, modern application architecture, compliance, and high availability. We are seeking a Cloud &amp; DevOps Engineer who can manage cloud infrastructure and drive deployment automation across mission&#8209;critical systems.Role SummaryThe Cloud &amp; DevOps Engineer will be responsible for designing, implementing, and maintaining cloud infrastructure while also building and automating CI/CD pipelines. The role combines cloud engineering, automation, release management, monitoring, and environment security. The ideal candidate has deep experience in Azure, DevOps tooling, infrastructure-as-code, networking, and application deployment automation.Key Responsibilities<ul><li>Design, deploy, and maintain Azure cloud infrastructure (App Services, VNets, Storage, VMs)</li><li>Implement CI/CD pipelines using Azure DevOps or GitHub Actions</li><li>Manage networking components including subnets, firewalls, load balancers, NSGs, and routing</li><li>Build and maintain automated deployment workflows for .NET and containerized applications</li><li>Implement infrastructure-as-code using ARM, Bicep, or Terraform</li><li>Configure and manage Azure AD/Entra ID, RBAC, managed identities, and identity governance</li><li>Deploy and manage Azure SQL, PostgreSQL, caching layers, and other data services</li><li>Build and manage container registries, Docker images, and automated release pipelines</li><li>Configure monitoring, logging, alerts, dashboards, and performance insights using Azure Monitor</li><li>Ensure cloud environments meet security, compliance, and CIS hardening requirements</li><li>Troubleshoot production issues, perform root-cause analysis, and improve reliability</li><li>Collaborate closely with development, QA, and project teams for successful end&#8209;to&#8209;end delivery</li></ul>Required Qualifications<ul><li>5+ years of experience in cloud engineering, DevOps, or related fields</li><li>Strong hands-on experience with Microsoft Azure (IaaS, PaaS, Networking, Security)</li><li>Proficiency with CI/CD pipelines, YAML, release automation, and DevOps workflows</li><li>Experience with Azure App Services, Functions, API Management, and container services</li><li>Strong understanding of networking concepts: load balancers, routing, subnets, VPN, NSG</li><li>Experience with Infrastructure-as-Code (ARM, Bicep, Terraform)</li><li>Proficiency with Docker, registries, automated build pipelines</li><li>Strong understanding of identity and access management with Azure AD/Entra ID</li><li>Knowledge of monitoring, logging, performance tuning, and operational stability</li><li>Strong scripting skills (PowerShell or Bash)</li><li>Excellent communication and documentation abilities</li><li>Ability to work on-site in Qatar or relocate</li><li>Applicants must attach valid Microsoft certificates (AZ&#8209;104, AZ&#8209;400, AZ&#8209;700, AZ&#8209;305, AZ&#8209;500, or equivalent) with their CV</li></ul>Bonus Points<ul><li>Experience with AKS and container orchestration</li><li>Familiarity with Zero Trust architecture and CIS benchmarks</li><li>Experience with hybrid cloud or on&#8209;prem connectivity (VPN/ExpressRoute)</li><li>Knowledge of cost optimization and FinOps practices</li><li>Experience supporting government environments or secure deployments</li></ul>What We Offer<ul><li>Full-time on-site role in Doha, Qatar</li><li>Competitive salary with relocation assistance</li><li>Opportunity to work on high-security government platforms</li><li>Modern engineering environment using Azure &amp; Microsoft ecosystem</li><li>Training, certifications, and continuous professional development</li><li>Supportive and collaborative engineering culture</li></ul>How to ApplyApplicants must send their CV with &ldquo;Microsoft Certificates&rdquo; toweb-support@dataline-qa.com (Applications submitted through Indeed will not be considered; only email applications will be reviewed).Subject line: &ldquo;Cloud &amp; DevOps Engineer &ndash; Qatar&rdquo;Applications without Microsoft certificates will not be considered.Job Types: Full-time, PermanentPay: QAR10,000.00 - QAR15,000.00 per month

Cloud & DevOps Engineer (On-site, Qatar)

Advanced Artificial Mind

DevOps / Cloud EngineerLocation: Qatar / Remote Department: ITResponsibilities:<ul><li>Maintain and optimize cloud environments on Render, AWS, GCP, and Azure.</li><li>Implement scaling, monitoring, and automation strategies for web and mobile applications.</li><li>Manage CI/CD pipelines using GitLab and self-hosted GitLab runners.</li><li>Ensure system security, reliability, and cost efficiency.</li><li>Collaborate with developers and AI teams to streamline deployment workflows.</li></ul>Requirements:<ul><li>Strong experience with cloud infrastructure management (AWS / GCP / Azure / Render).</li><li>Proficiency in GitLab CI/CD, Docker, and Kubernetes.</li><li>Knowledge of infrastructure as code (Terraform, Ansible).</li><li>Understanding of scalability, load balancing, and security best practices.</li><li>Experience managing self-hosted GitLab and DevOps automation tools.</li></ul>Why Join Us<ul><li>Be part of a fast-growing Qatari tech company building impactful digital products.</li><li>Work on real-world projects in AI, data, and software innovation.</li><li>Enjoy a flexible work environment.</li><li>Grow through continuous learning, mentorship, and certification support.</li></ul>Job Type: Full-time

DevOps / Cloud Engineer

Oscar

<div>
 
 
 Role: AI Security Engineer
 
 
 
 
 Location: Doha, Qatar
 
 
 
 
 Salary: Negotiable (Tax Free) + Relocation Allowance
 
 
 
 
 
 
 
 Summary:
 
 
 
 
 
 
 Oscar Technology has partnered with a leading consultancy firm to recruit a specialist for an exciting two-year project based in Qatar. The successful candidate will play a key role in ensuring the security posture of the firm. A relocation package is available and can be negotiated.
 
 
 
 
 
 We need a technically focused AI Security Engineer with 5 years' hands‑on experience securing machine learning systems, LLM deployments, and data pipelines in enterprise environments. Deep expertise in adversarial ML, secure MLOps, model integrity, and privacy-preserving techniques. Proven record of designing production-safe inference services, automating adversarial testing, and reducing model exposure and data leakage risk.
 
 
 
 
 
 This is an excellent opportunity for someone looking to advance their career with a major Qatari firm while enjoying tax-free earnings. Salary is dependant on experience and negotiable.
 
 
 
 
 
 
 Technical expertise we are looking for:
 
 
 
 
 
 
 
 AI &amp; Automation:
 
 
 
 
 
 <ul>
 <li>
 Workflow Automation (Make.com, Zapier, n8n, MS Power Automate)
 </li>
 <li>
 AI Agents &amp; Chatbots (OpenAI, LangChain, Rasa, Dialogflow)
 </li>
 <li>
 Business Process Automation (RPA, API-Integration, SaaS Workflows)
 </li>
 <li>
 Generative AI &amp; LLMs (GPT, Prompt Engineering, Agentic Workflows)
 </li>
 </ul>
 
 
 
 
 
 Technologies &amp; Tools:
 
 
 
 
 
 <ul>
 <li>
 OpenAI API, LangChain, n8n, Make.com, Zapier
 </li>
 <li>
 MS Power Platform, Power Automate, SharePoint
 </li>
 <li>
 Docker, SQL, REST APIs, Postman, GitHub
 </li>
 <li>
 Confluence, JIRA, MS Project, Trello, Asana
 </li>
 </ul>
 
 
 
 
 
 Programming &amp; Test Automation:
 
 
 
 
 
 <ul>
 <li>
 Python, Java, C#, C/C++
 </li>
 <li>
 Test Automation (Pytest, Robot Framework, Playwright, Selenium)
 </li>
 <li>
 QA &amp; Test Management (Azure DevOps, CI/CD, Test Strategies)
 </li>
 </ul>
 
 
 
 
 
 Cloud &amp; Infrastructure:
 
 
 
 
 
 <ul>
 <li>
 Microsoft Azure (AI, Automation, Data Services)
 </li>
 <li>
 Amazon Web Services (AWS AI, Lambda, EC2)
 </li>
 <li>
 Cloud Integrations &amp; Deployment
 </li>
 <li>
 Consulting &amp; Project Management
 </li>
 <li>
 IT Project Management (Agile, Scrum, Kanban)
 </li>
 <li>
 Process Optimization &amp; Digital Transformation in SMEs
 </li>
 <li>
 Workshops, Trainings &amp; Coaching for AI Automation
 </li>
 <li>
 Stakeholder Management &amp; Change Management
 </li>
 </ul>
 
 
 
 
 
 Soft Skills:
 
 
 
 
 
 <ul>
 <li>
 Intercultural Collaboration
 </li>
 <li>
 Structured &amp; Solution-Oriented Approach to Work
 </li>
 </ul>
 
 
 
 
 
 What you will be responsible for:
 
 
 
 
 
 <ul>
 <li>
 Model Security &amp; Hardening: adversarial training, gradient masking, model watermarking, integrity verification
 </li>
 <li>
 Privacy &amp; Data Protection: differential privacy, secure aggregation, federated learning, synthetic data
 </li>
 <li>
 MLOps &amp; Infrastructure: Kubernetes, Docker, MLflow, CI/CD for ML, Terraform, Vault
 </li>
 <li>
 Secure Deployment: encrypted inference, API gateway hardening, rate limiting, runtime monitors
 </li>
 <li>
 Threat Modeling &amp; Testing: ATT&amp;CK for ML mapping, red-team adversarial scenarios, prompt-injection testing
 </li>
 <li>
 Languages &amp; Frameworks: Python, Bash, Go, PyTorch, TensorFlow, Hugging Face Transformers, ONNX
 </li>
 <li>
 Cloud &amp; DevSecOps: AWS (SageMaker, ECR, IAM), Azure ML, GCP Vertex AI, GitHub Actions
 </li>
 <li>
 Monitoring &amp; Observability: Prometheus, Grafana, ELK Stack, model drift detection
 </li>
 </ul>
 
 
</div>

AI Security Engineer

Sight Spectrum

Key Responsibilities:<ul><li>Design and manage secure hybrid network architectures (on-prem &amp; multi-cloud).</li><li>Configure routing, switching (BGP, OSPF), firewalls (Palo Alto, Fortinet, Cisco ASA), VPNs, and load balancers (F5, Azure Application Gateway).</li><li>Implement WAFs, zero trust policies, and ensure compliance (ISO 27001, NIA Qatar).</li><li>Secure cloud connectivity using ExpressRoute, NSGs, Private Endpoints, and hybrid VPNs.</li><li>Integrate network telemetry with SIEM/SOAR tools (Azure Sentinel, Chronicle, Splunk).</li><li>Support incident response, threat detection, and continuous risk assessment.</li><li>Collaborate with Cloud, DevOps, and Security teams to embed security-by-design.</li></ul>Required Skills &amp; Experience:<ul><li>10+ years in network &amp; infrastructure security (enterprise scale).</li><li>Strong in routing/switching, firewalls, VPN, WAF, load balancing, and zero trust.</li><li>Hands-on with Azure &amp; GCP cloud security, Terraform, Ansible, and IaC tools.</li><li>Certifications preferred: CISSP, CCSP, AZ-500, SC-100, or GCP Security Engineer.</li><li>Experience in Oil &amp; Gas, Energy, or Critical Infrastructure sectors preferred.</li></ul>Job Type: Contract Contract length: 12 months

Senior Data Engineer

QatarEnergy

<div>
 
 Primary Purpose Of The Job
 
 
 
 Design and build efficient and innovative software solutions and interfaces that integrate with QatarEnergy Trading&rsquo;s existing IT architecture to enable business growth and risk control through automation.
 
 
 <ul>
 <li>
 Work with traders, risk &amp; finance managers, system architects, business analysts, project managers and other ICT departments to develop efficient and scalable systems, applications, interfaces and tools from scratch, and enable QatarEnergy Trading business growth through high level of automation and process optimization.
 </li>
 <li>
 Build and maintain software solutions that fully integrate with the existing third party and in-house platforms in accordance with QET&rsquo;s overall IT architecture design.
 </li>
 <li>
 Provide timely technical support to in-house trading solutions to ensure business continuity.
 </li>
 <li>
 Establish DevOps framework and tools for the Trading Solutions team as the foundation for futures growth and long-term success.
 </li>
 <li>
 Lead external IT consultants and developers, provide technical requirements and test cases, manage the development timeline, and perform quality control to ensure the delivery of IT solutions that meet the business requirements.
 </li>
 <li>
 Stay updated with the latest technology and tools, find innovative solutions, conduct POCs, document and share knowledge &amp; practices to help QatarEnergy Trading gain a sustainable and competitive advantage in the market.
 </li>
 <li>
 Apply security measures by following security procedures and standards to ensure secure environment, manage and address Trading systems vulnerabilities and threats, adhere to established standards, processes, procedures, and policies throughout the software development life cycle.
 
 
 </li>
 </ul>
 
 Required Experience And Skills
 
 
 
 <ul>
 <li>
 Minimum 8 years of experience designing, developing and implementing multitier software solutions using C#, Angular JS, .Net within a commodity trading, banking or hedge fund environment.
 </li>
 <li>
 Minimum 3 years of experience developing, deploying, and maintaining systems on Azure, with expertise in Azure services (Azure Active Directory, Azure Functions, Azure Service Bus, Azure App Services, Azure Storage, Azure SQL, Azure Cosmos DB, etc) and the implementation practices.
 </li>
 <li>
 Experience on backend API development using C#. In-depth knowledge of RESTful and GraphQL web services is required.
 </li>
 <li>
 Experience on frontend SPA development using Angular.
 </li>
 <li>
 Hands on experience with CI/CD tooling including platforms such as Azure DevOps, Github.
 </li>
 <li>
 Experience using infrastructure-as-code tools such as Bicep or Terraform.
 </li>
 <li>
 Extensive experience in writing efficient SQL, and relevant experience with database design.
 </li>
 <li>
 Ability to perform full SDLC activities using Agile methods, including requirement definition, prototyping, proof of concept, design, implementation, testing and maintenance.
 </li>
 <li>
 Understanding of micro-services architecture.
 </li>
 <li>
 Understanding of microfrontend is preferred.
 </li>
 <li>
 Good understanding of straight-through-processing (STP) requirements and FIX protocol is preferred.
 </li>
 <li>
 Knowledge and experience in the implementation, maintenance of cloud solutions using Azure DevOps and other cloud technologies (e.g. Microsoft Azure Data Factory, Data Bricks) and building reporting capabilities is preferred.
 </li>
 <li>
 Experience working with any CTRM/ETRM system is preferred.
 </li>
 <li>
 Proficiency in Python is a plus.
 </li>
 <li>
 Excellent written and verbal communications skills.
 </li>
 <li>
 Self-reliance and self-sufficiency; willingness to help build a business from the ground upwards in a phased manner but with quick short-term solutions essential for success.
 </li>
 <li>
 Strong delivery focus is critical.
 
 
 </li>
 </ul>
 
 Educational Qualifications
 
 
 
 Bachelor&rsquo;s degree in computer science, engineering or related field.
</div>

SR. SYSTEMS ENGINEER (APPLICATION DEVT)

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