Senior DevOps Engineer

business GamaLearn
location_on Abu Dhabi
work full-time
A week ago

Description

We are seeking a dedicated Senior Dev Ops Engineer to oversee our Azure Dev Ops platform. This is a critical role that bridges the gap between Project Management, Development, Technical Support, and Backend Teams. With the increasing workload and expanding team size, this role is essential to ensure smooth operations and efficient deployments both cloud-based and on-premise.Key Responsibilities Azure Dev Ops Management: Establish, maintain, and optimize the Azure Dev Ops environment ensuring high availability and performance.Pipeline Development: Design, implement, and manage CI/CD pipelines using Azure Dev Ops ensuring seamless integration and deployment.Dev Sec Ops Integration: Integrate security practices into the Dev Ops pipeline utilizing tools such as Sonar Qube and OWASP.Collaboration: Work closely with Project Managers, Developers, Tech Support, and Backend Teams including DBA and Solution Architects to ensure coordinated and efficient operations.Cloud and On-Premise Deployments: Manage and support both cloud-based and on-premise deployments ensuring compatibility and performance.Git Management: Oversee the Git repository ensuring best practices in version control and branching strategies.Performance Monitoring: Implement monitoring and logging solutions such as Azure Monitor and ELK Stack to ensure system reliability and performance.Automation: Develop and maintain automation scripts using Power Shell, Bash, and other scripting languages to streamline operations and reduce manual efforts.Containerization: Extensive experience with containerization technologies like Docker and Kubernetes.Telemetry: Utilize Application Insights and other telemetry tools to monitor and optimize application performance.Security and Access Control: Address security and access control/roles/workflows in Azure Dev Ops maintaining them in line with internal policies and team structures ensuring granular-level permissions and privileges.Repository Management: Proficiency in working with multiple repositories and branches handling merge conflicts with developers and maintaining solid tracking of releases, versioning, dependencies, libraries, and Nu Get packages.Bonus: MLOps Support: Collaborate with the AI unit to establish and maintain MLOps practices supporting ML Engineers and Data Scientists.Requirements Education: Bachelor's degree in Computer Science, Information Technology, or related field. Advanced degree preferred.Experience: Minimum of 5 years in Dev Ops with a strong focus on Azure Dev Ops.Proven experience in managing cloud-based and on-premise deployments.Hands-on experience with .NET Webforms and .NET Core applications.Extensive experience with containerization technologies like Docker and Kubernetes.Technical Skills: Proficient in CI/CD pipeline development and management.Strong knowledge of Dev Sec Ops practices and tools (Sonar Qube, OWASP).Expertise in Git version control and branching strategies.Experience with automation tools and scripting languages (Power Shell, Bash, etc.).Familiarity with monitoring and logging tools (Azure Monitor, ELK Stack, Application Insights).Proficiency in multiple operating systems including Windows, Linux, and Unix.Experience with a variety of open-source and licensed tools and databases.Certifications: Mandatory: Microsoft Certified: Azure Dev Ops Engineer Expert Certified Kubernetes Administrator (CKA)Optional: AWS Certified Dev Ops Engineer Certified Jenkins Engineer Docker Certified Associate Hashi Corp Certified: Terraform Associate Soft Skills: Communication: Excellent verbal and written communication skills with the ability to articulate complex technical concepts to non-technical stakeholders.Problem Solving: Strong analytical and problem-solving abilities.Team Player: Ability to work collaboratively with cross-functional teams.Leadership: Demonstrated leadership skills with the ability to mentor and guide junior team members.Bonus Skills: Experience with MLOps practices and tools.Knowledge of AI/ML frameworks and collaboration with Data Science teams.Experience with deployments across multiple infrastructures/environments following Infrastructure as Code (Ia C) practices.Proficiency in Dev Ops automation and collaboration with developers to optimize and streamline deployment processes.Required Experience: Senior IC#J-18808-Ljbffr

Posted: 4th July 2025 11.26 am

Application Deadline: N/A

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