Senior AI Devops Engineer

The Senior AI Devops Engineer, Infrastructure collaborates with engineering teams to optimize system performance, reliability, and security while mentoring and guiding junior team members.

Key Responsibilities

 

• Lead the design, implementation, and management of cloud infrastructure and deployment pipelines.
• Develop and maintain automation tools for build, test, deployment, and infrastructure provisioning.
• Collaborate with software engineers, QA, and security teams to ensure robust CI/CD processes.
• Monitor system performance, troubleshoot issues, and implement improvements for scalability and reliability.
• Define and enforce best practices for infrastructure, configuration management, and security.
• Drive initiatives for disaster recovery, backup, and system resilience.
• Mentor and guide DevOps engineers and other technical team members.
• Stay current with emerging technologies, tools, and industry trends to continuously improve DevOps capabilities.
• Participate in architecture and design discussions to align DevOps strategies with business goals.
  
   

Qualifications & Experience

 

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related experience.
• 5+ years of experience in DevOps, system administration, or related roles.
• Deep expertise with cloud platforms (AWS, Azure, GCP) and infrastructure-as-code tools (Terraform, Terragrunt, and Helm).
• Strong scripting and programming skills (Python, Bash, Go, etc.).
• Experience with containerization and orchestration (Docker, Kubernetes).
• Proficient in CI/CD tools such as Jenkins, GitLab CI, CircleCI, or similar.
• Knowledge of security best practices and compliance requirements.
• Experience with monitoring and logging tools (Prometheus, Grafana, ELK Stack).