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devops engineer

MAHAD Group

DevOps Engineer &ndash; Build the Future of AI RecruitmentLocation: Abu Dhabi / DohaType: Full-TimeAbout MahadMahad Group is revolutionising the global recruitment and manpower industry with AI-powered platforms such as MahadResume.com, MahadRank.com, MahadHost.com, and a next-gen recruitment ERP system. Our mission is simple: empower talent mobility worldwide by combining AI, human expertise, and scalable technology.To achieve this, we&rsquo;re building a strong infrastructure backbone&mdash;and that&rsquo;s where you come in.Role OverviewAs a DevOps Engineer at Mahad, you will be responsible for building, automating, and maintaining the cloud and on-premises infrastructure that powers our recruitment platforms, resume builders, AI integrations, and ERP systems. You&rsquo;ll work closely with our developers, backend engineers, and AI specialists to ensure high availability, security, and scalability across multiple geographies (Qatar, UAE, India, Africa).This role is ideal for someone who thrives in fast-paced environments and wants to shape AI-driven recruitment technology at a global scale.Key ResponsibilitiesManage infrastructure across Hetzner &amp; AWS (VPS, dedicated servers, CloudLinux, AlmaLinux, Ubuntu).Build and optimize CI/CD pipelines (GitHub Actions, Jenkins).Automate deployments for Django Node.js (Express), .NET, Angular, React apps.Oversee PostgreSQL clusters, backups, replication, and performance tuning.Set up and manage Kafka for real-time data pipelines powering recruitment workflows.Containerize applications with Docker/Kubernetes for scalable deployments.Implement server monitoring, alerting, and logging (Prometheus, Grafana, ELK).Enhance security &amp; compliance (SSL, firewalls, IAM, GDPR).Support AI/ML integrations (OpenAI APIs, resume parsing, ATS workflows).Collaborate with engineering teams to ensure seamless infra support for new product launches.Required Skills3+ years in DevOps, SRE, or infrastructure engineering.Strong in Linux server administration (CloudLinux, AlmaLinux, Ubuntu).Experience with Hetzner &amp; AWS (EC2, S3, RDS, IAM, VPC, Lambda).Hands-on with CI/CD (GitHub Actions, Jenkins, GitLab CI).Proficient in Node.js (Express), .NET, Angular, React deployments.Solid skills in PostgreSQL (tuning, high availability, replication).Kafka or equivalent event streaming experience.Knowledge of Docker, Kubernetes, Terraform, Ansible.Strong security-first mindset (IAM, SSL, firewalls, monitoring).Bonus: Experience in AI/ML API integrations (OpenAI, Affinda, Grammarly).What We OfferWork on cutting-edge AI recruitment platforms shaping the future of global hiring.Exposure to multi-country infrastructure (Qatar, UAE, India, Africa).Competitive salary with growth into Lead/Senior DevOps.Flexibility: remote or hybrid depending on location.Chance to work directly with Mahad&rsquo;s AI King vision team .How to ApplySend your CV or GitHub/LinkedIn profileJoin Mahad. Build the infrastructure that powers AI-driven recruitment worldwide.Job Type: Full-timePay: AED2,000.00 - AED4,500.00 per month

DevOps Engineer

Contango

<div>About the Data &amp; AI Hub 
 
At Data &amp; AI Hub we&rsquo;re unlocking cross-portfolio value through a centralized data platform and AI-powered solutions that drive efficiency, profitability, and innovation across our operating companies. Aligned with the UAE&rsquo;s bold vision for AI leadership, Data &amp; AI Hub is shaping the future of data-driven governance, building the next generation of AI products with both regional and global impact 
 
About the Role
We are seeking a DevOps / Platform Engineer whose primary goal is to be a force multiplier for our product and engineering teams. This role is not just about maintaining infrastructure; it's about supercharging our development lifecycle by focusing on developer experience, ease of deployment, and overall platform hygiene. You will be the champion for our internal development platform, maturing our existing systems (GitHub Actions, Terraform) and leading the charge in adopting modern tooling (e.g. CircleCI, Pulumi). 
Key Responsibilities<ul>
<li>
Elevate our developer experience by creating and refining frictionless CI/CD pipelines (GitHub Actions, CircleCI) that enable easy, frequent, and safe deployments.</li>
<li>Champion platform hygiene and automation through best-in-class Infrastructure as Code (IaC) practices using Terraform and/or Pulumi</li>
<li>Engineer a scalable and resilient cloud infrastructure on Microsoft Azure, providing a robust foundation for our products with a focus on App Service, Azure Kubernetes Service (AKS), and complex VPC configurations</li>
<li>Ensure platform reliability and enable proactive issue resolution by implementing sophisticated observability solutions with Azure Monitor and Azure Sentinel</li>
<li>Automate operational tasks and workflows using Bash and a programming language like Python or TypeScript</li>
<li>Act as a key partner to engineering teams, deeply understanding their workflows to remove friction and boost productivity</li>
<li>Enforce and improve Git best practices to ensure a clean and efficient version control history</li>
</ul>
Requirements<ul>
<li>
Strong, hands-on experience with Microsoft Azure, specifically with App Service, AKS, and VPC networking</li>
<li>Proficiency in Infrastructure as Code (IaC) with Pulumi and/or Terraform</li>
<li>Demonstrated experience building and managing CI/CD pipelines (e.g., GitHub Actions, CircleCI)</li>
<li>Expertise in Bash scripting</li>
<li>Proficiency in at least one programming language, such as Python or TypeScript</li>
<li>Experience with observability tools (e.g., Azure Monitor, Azure Sentinel)</li>
<li>A deep understanding of Git workflows and best practices</li>
</ul>
Nice-to-Haves<ul>
<li>
Experience with Databricks Asset Bundles.</li>
<li>Knowledge of GitOps principles and tools.</li>
<li>Familiarity with FinOps for cloud cost management.
</li></ul>Key Technologies<ul>
<li>
Terraform</li>
<li>Pulumi</li>
<li>CI/CD principles</li>
<li>Azure DevOps</li>
<li>Visual Studio Code</li>
<li>Git/GitHub Enterprise</li>
<li>Kubernetes</li>
<li>PowerShell</li>
<li>Familiar with deployment methods and mechanism</li>
<li>Python scripting (good to have)</li>
</ul>
Disclaimer:
This job posting is not open to recruitment agencies. Any candidate profile submitted by a recruitment agency will be considered as being received directly from an applicant. Contango reserves the rights to contact the candidate directly, without incurring any obligations or liabilities for payment of any fees to the recruitment agency.</div>

Senior DevOps Engineer

Mind Stream

Job DescriptionJob Title: GKE-Anthos Infrastructure EngineerLocation: Doha, QatarPrimary Skills:&middot; Google Kubernetes Engine (GKE) &ndash; On-Prem and Cloud&middot; Anthos &ndash; Hybrid and Multi-Cloud Deployment&middot; Apigee Hybrid &ndash; API ManagementSecondary Skills:&middot; ELK Stack (Elasticsearch, Logstash, Kibana)&middot; CI/CD Tools &ndash; Jenkins, GitHub Actions&middot; Artifact &amp; Code Quality Tools &ndash; Nexus, SonarQube&middot; GitHub &ndash; Source Control and CollaborationKey Responsibilities:1. Manage and execute upgrades of GKE On-Prem and GKE on Cloud clusters.2. Architect and deploy Anthos across on-premises, Google Cloud, and other public cloud environments.3. Design and manage GKE clusters and workloads across hybrid environments.4. Configure and maintain Anthos Service Mesh, Config Management, and Migrate.5. Ensure security, compliance, and governance across Anthos-managed environments.6. Automate infrastructure provisioning and cluster operations using CI/CD pipelines.7. Troubleshoot and resolve issues related to Anthos, GKE, and integrated components.8. Optimize performance and reliability of hybrid cloud infrastructure.9. Collaborate with DevOps and application teams to modernize legacy applications using containers and microservices.10. Maintain detailed documentation for upgrades, configurations, and operational procedures.11. Conduct workshops and training sessions for internal teams and clients.12. Provide technical leadership and guidance on Anthos best practices.Expectations:&middot; 3-5 years of experience in cloud infrastructure and Kubernetes.&middot; Hands-on experience in upgrading and maintaining Anthos and GKE (Cloud &amp; On-Prem).&middot; Strong troubleshooting skills across hybrid environments.&middot; Ability to work independently and collaboratively in cross-functional teams.&middot; Experience integrating Nexus, SonarQube, Jenkins, and GitHub into CI/CD workflows.Certifications (Preferred):&middot; Google Cloud Certified &ndash; Professional Cloud Architect or Kubernetes Engineer&middot; Certified Kubernetes Administrator (CKA)&middot; Anthos or Apigee-related certifications (if available)Job Type: Full-timeApplication Question(s):<ul><li>How many years of experience do you have working with Google Kubernetes Engine (GKE) (On-Prem and/or Cloud)?</li><li>Do you have hands-on experience deploying and maintaining Anthos in hybrid or multi-cloud environments?</li><li>Have you worked with Apigee Hybrid for API management?</li><li>Do you currently hold any of the following certifications? (Please mention)</li></ul>Google Cloud Certified &ndash; Professional Cloud ArchitectGoogle Cloud Certified &ndash; Kubernetes EngineerCertified Kubernetes Administrator (CKA)Anthos/Apigee certification<ul><li>what is current and expected salary? Notice period?</li></ul>

GKE-Anthos Infrastructure Engineer / DevOps

Healthsoft Middle East

Senior Data Engineer <ul><li>Should be proficient with SQL and Python</li><li>Should be proficient with Spark (preferably PySpark and Spark SQL)</li><li>Good to have experience with Azure Cloud, Azure Databricks, Azure Data Factory, ADLS and Azure SQL</li><li>Good to have experience in healthcare domain</li><li>Good to have Databricks or Azure certifications</li><li>Senior Devops Engineer (or Senior Platform Engineer)</li><li>Should be proficient with Azure Cloud</li><li>Should be proficient in administration for Azure Databricks</li><li>Should be proficient with IaC (infrastructure as code) - Terraform (or Bicep)</li><li>Should be proficient with version control and CI&amp;CD using Azure Pipelines (or equivalent e.g., Github Actions)</li><li>Good to have experience with data engineering and analytics team</li><li>Good to have experience about Spark (how compute works, infra optimizations, performance improvements)</li><li>Good to have Databricks and Azure certification</li><li>Senior Data Modeler (or BI analyst with medallion data architecture design)</li><li>Should be proficient with SQL and Spark</li><li>Should have experience in data modeling and architecture (conceptual, logical, and physical data models) &mdash; dimensional modeling, relational modeling, etc.</li><li>Should have adept knowledge about healthcare domain</li><li>Should have excellent analytical skills for data analysis and profiling</li><li>Should have technical writing skills for model documentation and to use modelling tools</li><li>Good to have experience with metadata management and data governance</li><li>Minimum 10 years of experience in similar functional domain is required.</li></ul>Job Type: Full-time

Senior Data Engineer

Deeplight

<div>DeepLight AI is a specialist AI and data consultancy with extensive experience implementing intelligent enterprise systems across multiple industries, with particular depth in financial services and banking. Our team combines deep expertise in data science, statistical modeling, AI/ML technologies, workflow automation, and systems integration with a practical understanding of complex business operations.
The AI Platform Engineer helps design, build and maintain the on-premises AI Infrastructure for our client, a market leader in the environment sector. The engineer plays a key role in enabling large-scale machine learning and generative AI workloads by developing robust, scalable, and secure platform solutions that support data scientists and ML engineers across the organisation.
The role requires deep Kubernetes and infrastructure automation experience to optimise performance, streamline deployments, and ensure reliability in an on-prem environment.
Requirements<ul>
<li>
Design, deploy, and manage on-premises Kubernetes clusters for AI and ML workloads.</li>
<li>Develop and maintain infrastructure-as-code using tools like Terraform, Helm, or Ansible</li>
<li>Build and optimise AI/ML pipelines and MLOps workflows for model training, deployment, and monitoring.</li>
<li>Collaborate with data science and engineering teams to deliver high-performance computing environments for large model training and inference.</li>
<li>Implement resource management, observability, and scaling strategies for GPU-based workloads.</li>
<li>Manage containerisation, networking, and storage solutions for AI workloads.</li>
<li>Ensure security, compliance, and reliability of the AI platform.</li>
<li>Automate operational processes and continuously improve platform efficiency.</li>
</ul>
What we need from you:<ul>
<li>
Proven experience managing Kubernetes clusters on-premises (not just cloud-managed solutions).</li>
<li>Experience working in a Consultancy capacity.</li>
<li>Strong background in container orchestration, CI/CD, and automation.</li>
<li>Proficiency in Linux administration, Docker, and networking fundamentals.</li>
<li>Hands-on experience with infrastructure-as-code (Terraform, Helm, Ansible, etc.).</li>
<li>Experience supporting AI/ML workloads (e.g., TensorFlow, PyTorch, Hugging Face, Ray, Kubeflow).</li>
<li>Familiarity with GPU scheduling and resource management on Kubernetes.</li>
<li>Knowledge of monitoring and logging tools (Prometheus, Grafana, ELK, etc.).</li>
<li>Strong scripting skills (Python, Bash, or Go).</li>
<li>Understanding of DevOps and MLOps best practices.</li>
</ul>
Benefits
Benefits &amp; Growth Opportunities:<ul><li>Competitive salary and performance bonuses</li><li>Comprehensive health insurance</li><li>Professional development and certification support</li><li>Opportunity to work on cutting-edge AI projects</li><li>International exposure and travel opportunities</li><li>Flexible working arrangements</li><li>Career advancement opportunities in a rapidly growing AI company</li></ul>
This position offers a unique opportunity to shape the future of AI implementation while working with a talented team of professionals at the forefront of technological innovation. The successful candidate will play a crucial role in driving our company's success in delivering transformative AI solutions to our clients.</div>

AI Platform Engineer

Tavily

<div><h2 class="jobSectionHeader">About Tavily</h2>
Tavily is building the infrastructure layer for agentic web interaction at scale. Our API powers Retrieval Augmented Generation (RAG) and real-time reasoning in AI systems.
By connecting large language models to high-quality, trustworthy web content, we help developers build agents that are not only intelligent but also informed.
We work with some of the most innovative teams in AI. From startups shaping the ecosystem to enterprises deploying AI at scale. Whether it&rsquo;s powering sales assistants, research copilots, or internal knowledge tools, Tavily is the missing link between LLMs and the real world.<h2 class="jobSectionHeader">
The Role</h2>
We&rsquo;re looking for a Software Engineer to join our core engineering team and help build the infrastructure that powers real-time AI agents. You&rsquo;ll work across the stack, ship fast, and take ownership of critical systems as we scale.
This is an ideal role for a technically strong generalist with hands-on experience in building AI agents or complex distributed systems, someone who thrives in low-process environments, understands deep tech, and loves turning ambitious ideas into production-grade systems.<h2 class="jobSectionHeader">
What You'll Do</h2><ul><li>Build fast, reliable, and scalable systems for real-time LLM workflows</li><li>Design and implement backend infrastructure and API endpoints</li><li>Collaborate closely with product to iterate on features quickly and thoughtfully</li><li>Improve performance, monitoring, and reliability across the stack</li><li>Own core systems and contribute to key architectural decisions</li><li>Help shape a strong engineering culture focused on velocity and quality</li></ul><h2 class="jobSectionHeader">
What You Bring</h2><ul><li>2&ndash;5 years of professional software engineering experience</li><li>Strong backend development skills (Python preferred, but not required)</li><li>Experience with large-scale distributed systems and API design</li><li>Hands-on expertise with AWS and cloud-native services</li><li>Comfort working in a fast-paced startup environment with lots of ownership</li><li>Curiosity about LLMs, retrieval, and the future of AI systems</li><li>Based in Abu Dhabi or open to relocating</li></ul><h2 class="jobSectionHeader">
Nice To Have</h2><ul><li>Background in frontend or full stack development</li><li>Familiarity with DevOps practices (CI/CD, infrastructure as code, Kubernetes)</li><li>Experience building RAG workflows, agentic architectures, or LLM-integrated applications</li></ul><h2 class="jobSectionHeader">
Perks &amp; Benefits</h2><ul><li>A young, open, and inclusive culture where everyone has real impact from day one</li><li>The chance to build alongside a fast-moving team at the forefront of agentic AI</li><li>A deep-work culture that values curiosity, creativity, and learning</li><li>Full relocation package for the whole family including accommodation, insurance, flights, children education and more...</li></ul></div>

Software Engineer

Baker Hughes

<div>Site Reliability Engineer
Do you enjoy creating innovative and strategic solutions to solve complex problems?
Would you like the opportunity to learn cutting-edge technology?
Join our team!
As a Site Reliability Engineer, you'll be responsible for building and supporting Cloud infrastructure automation solutions that support OFSE Digital Cloud strategy. You will also be developing improving, deploying, and support Cloud services.
Partner with the best
As a Site Reliability Engineer, you will be responsible for:<div><div><ul><li>
Demonstrating best practices pertaining to Cloud DevOps development along with a willingness to continually learn Cloud native technologies.</li></ul></div><div><ul><li>
Following security guidelines to develop secure and compliant Cloud services by working with Risk and Security teams.</li></ul></div><div><ul><li>
Monitoring configuration management, platform layout, and hosting infrastructure.</li></ul></div><div><ul><li>
Automating deployment of applications and infrastructure</li></ul></div><div><ul><li>
Be able to work independently and in a team, environment managing a range of customers and technical situations.</li></ul></div><div><ul><li>
Providing technical application support for enterprise-level systems</li></ul></div><div><ul><li>
Running our infrastructure with Chef, Ansible, Terraform, GitHub CI/CD, and Kubernetes</li></ul></div><div><ul><li>
Participating in Capacity planning, system performance monitoring, resource utilization trending and incident and change management.</li></ul></div><div><ul><li>
Co-ordinating with Cloud infrastructure partners for Server, Network, Database, service-related incidents, and projects</li></ul></div><div><ul><li>
Deploying application upgrades/patches in production and test environments</li></ul></div><div><ul><li>
Troubleshooting application alerts, Azure and AWS Policy from monitoring tools and code inspection and performing RCAs</li></ul></div><div><ul><li>
Writing tutorials, how-to videos, and other technical articles for the customer community and knowledgebase articles and keep them up to date</li></ul></div><div><ul><li>
Working on critical, complex customer problems that may span multiple services</li></ul></div><div><ul><li>
Participating in 24x7 on-call rotation and working with global teams</li></ul></div><div><ul><li>
Collaborating with cross functional stakeholders</li></ul></div></div><div><div><ul><li>
Providing mentorship and guidance to team members</li></ul></div></div>
Fuel your passion
To be successful in this role you will:<div><ul><li>
Have bachelor's degree in computer science or &ldquo;STEM&rdquo; Majors (Science, Technology, Engineering and Math)</li></ul></div><div><ul><li>
Have 7+ years of experience in application support in cloud preferably Azure/AWS. Have prior experience in setting up, running and configuring Azure/AWS applications.</li></ul></div><div><ul><li>
Have experience in infrastructure optimization in Azure/AWS</li></ul></div><div><ul><li>
Be an expert in performance monitoring and capacity management of enterprise systems using various tools.</li></ul></div><div><ul><li>
Have 2+ years of Hands-on experience with Public Cloud-based applications, technologies and tools, deployment, monitoring, and operations, such as Docker, Kubernetes, Prometheus, Grafana, Kibana, etc.</li></ul></div><div><ul><li>
Have experience in RDBMS and NoSQL database technologies</li></ul></div><div><ul><li>
Have experience in Change management and Incident management process</li></ul></div><div><ul><li>
Advanced level of English, Arabic language skills are an advantage</li></ul></div>
Work in a way that works for you
We recognize that everyone is different and that the way in which people want to work and deliver at their best is different for everyone too. In this role, we can offer the following flexible working patterns:<ul><li>For us flexibility works both ways, we work with global customers and have annual targets, so as long as we can respond and deliver to these we can offer a lot of flexibility in this role. Talk to us about your desired flexible working options when you apply</li></ul>
Working with us
Our people are at the heart of what we do at Baker Hughes. We know we are better when all of our people are developed, engaged and able to bring their whole authentic selves to work. We invest in the health and well-being of our workforce, train and reward talent and develop leaders at all levels to bring out the best in each other.
Working for you
Our inventions have revolutionized energy for over a century. But to keep going forward tomorrow, we know we have to push the boundaries today. We prioritize rewarding those who embrace change with a package that reflects how much we value their input. Join us, and you can expect:<ul><li>
Contemporary work-life balance policies and well-being activities</li><li>
Comprehensive private medical care options</li><li>
Safety net of life insurance and disability programs</li><li>
Tailored financial programs</li><li>
Additional elected or voluntary benefits</li></ul>
About Us:<div>
We are an energy technology company that provides solutions to energy and industrial customers worldwide. Built on a century of experience and conducting business in over 120 countries, our innovative technologies and services are taking energy forward &ndash; making it safer, cleaner and more efficient for people and the planet.</div> 

Join Us:<div>
Are you seeking an opportunity to make a real difference in a company that values innovation and progress? Join us and become part of a team of people who will challenge and inspire you! Let&rsquo;s come together and take energy forward. 
 
Baker Hughes Company is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.</div></div>

Site Reliability Engineer

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