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).
