AI Senior DevOps Engineer

At Virtusa (Former ITMAGINATION), the company combines engineering excellence, creativity, and an AI-first mindset to co-create solutions that help businesses grow faster, operate smarter, and improve experiences with technology.

• 6–8 years of experience in DevOps/SRE roles, with at least 2 years focused on MLOps or supporting AI/ML workloads.
• Deep expertise in Jenkins, GitHub Actions, or GitLab CI/CD.
• Hands-on proficiency with Azure DevOps and Terraform; CloudFormation is a strong plus.
• Advanced knowledge of Docker and Kubernetes for managing distributed AI applications.
• Proven experience setting up Prometheus and Grafana dashboards for technical and model-specific metrics.
• Practical experience managing or connecting to MySQL, PostgreSQL, or MongoDB.
• Familiarity with Ansible, Chef, or Puppet for automated environment setup.
• Hands-on experience with SAST/DAST tools and automated vulnerability scanning within CI/CD pipelines.
• Experience with versioning tools for datasets and models (e.g., DVC or similar pipeline versioning logic).
• Professional English (C1) for seamless interaction with global delivery teams.

• Build and maintain automated CI/CD pipelines for ML models using Azure DevOps, GitHub Actions, or Jenkins.
• Automate model validation, packaging, and deployment workflows to ensure rapid iteration cycles.
• Use Infrastructure as Code tools like Terraform or CloudFormation to provision and manage cloud-native infrastructure focusing on high availability and scalability.
• Set up comprehensive monitoring for infrastructure (CPU/GPU/Memory) and model performance (latency and drift) using Prometheus and Grafana.
• Integrate security into the pipeline, including secret management, IAM role configuration, and vulnerability scanning.
• Collaborate closely with Data Scientists and AI Engineers to enable a self-service platform for model deployment.