Ml Ops DevOps

6 days ago

Andhra Pradesh, India Virtusa Full time

Job Summary:
DevOps/MLOps engineer to manage infrastructure and pipelines for scalable AI agent operations.
Experience Level: 5+ years
JD
Automate CI/CD pipelines for agent lifecycle.
Manage infrastructure via Terraform, GKE, Cloud Build.
Implement MLOps with Vertex AI Pipelines, MLFlow.
Monitor performance and deploy observability tools.
Ensure secure A2A communication and service mesh.
Collaborate on privacy and compliance practices.
Expert in GCP: Vertex AI, GKE, BigQuery, Pub/Sub.
Experience with Docker, Kubernetes.
Familiar with Kubeflow, Airflow, ML pipeline tools.
Observability tools: Prometheus, Grafana, Stackdriver.
Understanding of model versioning and drift.

**About Virtusa**

Teamwork, quality of life, professional and personal development: values that Virtusa is proud to embody. When you join us, you join a team of 27,000 people globally that cares about your growth — one that seeks to provide you with exciting projects, opportunities and work with state of the art technologies throughout your career with us.

Great minds, great potential: it all comes together at Virtusa. We value collaboration and the team environment of our company, and seek to provide great minds with a dynamic place to nurture new ideas and foster excellence.

Virtusa was founded on principles of equal opportunity for all, and so does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.

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