Senior DevOps Engineer – Cloud & MLOps

About the role

We are seeking a Senior DevOps Engineer to design, build, and maintain scalable, secure, and highly‑available infrastructure for our software and AI/ML products. The role works closely with software engineers, data scientists, and ML engineers to streamline both application and model deployment pipelines.

Key responsibilities

• Design, implement, and operate cloud infrastructure on AWS (with optional Azure/GCP) using IaC tools such as Terraform or Ansible.
• Create and maintain CI/CD pipelines for software and ML model deployments using platforms like GitHub Actions, GitLab CI, or Jenkins.
• Manage containerized workloads with Docker across development, staging, and production environments.
• Implement monitoring, logging, alerting, and observability solutions to ensure reliability and performance.
• Troubleshoot production incidents, perform root‑cause analysis, and optimize system efficiency.
• Apply cloud security best practices, backup strategies, access controls, and disaster‑recovery procedures.
• Support MLOps workflows, including model versioning, deployment, monitoring, and lifecycle management.
• Monitor cloud cost and resource utilization, providing recommendations for optimization.
• Maintain up‑to‑date documentation of infrastructure, deployment processes, and operational best practices.

Required profile

• Bachelor’s degree in Computer Science, IT, Software Engineering or a related field.
• 3+ years of professional experience in DevOps, Cloud Engineering, or Infrastructure Engineering.
• Proven ability to work collaboratively with cross‑functional engineering teams.

Required skills

• AWS (required)
• Azure or Google Cloud Platform (optional)
• Terraform
• Ansible
• GitHub Actions, GitLab CI, Jenkins
• Docker
• Linux