Senior DevOps Engineer

As a Senior DevOps Engineer in our team, you will be responsible for working collaboratively with software engineering to deploy and operate our systems. You will help automate and streamline our operations and processes, building and maintaining tools for deployment, monitoring, and operations.

Responsibilities

• Responsible for growing and developing an incredible team of talented and motivated engineers with high expectations around individual ownership and impact.
• Maintain scalable and robust CI/CD framework.
• Ensure issues are tracked appropriately in the ticket management system.
• Work with engineers and QA to ensure that issues are resolved, and fixes deployed, in a timely fashion.
• Maintain suitable deployment-specific support documentation.
• Impart knowledge of best practices and IT operations in an always-up, always-available service.
• Collaborate in a multicultural and diverse environment that expands to include various geographic locations.
• Convey and receive information in a clear, credible, and consistent manner.
• Comply with QHSE (Quality Health Safety and Environment), Business Continuity, Information Security, Privacy, Risk, Compliance Management and Governance of Organizations policies, procedures, plans and related risk assessments.

Requirements

• Bachelor's degree in computer engineering, Computer Science, or Electrical Engineering and Computer Sciences.
• 5+ years’ experience in DevOps.
• Experience in developing Continuous Integration/ Continuous Delivery pipelines (CI/ CD).
• Experience in building health and performance monitoring systems.
• Strong background in Linux/Unix Administration.
• Knowledge of one cloud platform such as AWS, Azure or GCP.
• Solid hands-on knowledge of Dockers and Container Orchestration tools such as Kubernetes or Dockerswarm.
• Proficient in scripting, and Git workflows.
• Strong experience with SQL and MySQL.
• Experience deploying, operating, monitoring, and troubleshooting Java applications.
• Hands-on experience running GPU workloads, including model deployment, inference serving, resource scheduling, performance monitoring, GPU utilization optimization and troubleshooting.

Location
Abu Dhabi, Abu Dhabi, United Arab Emirates