AI DevOps Engineer, AVP
Pune - Business Bay, India
INR 2100K-2700K (estimate) Executive-level Full Time
Tasks
- Build and integrate MCP servers and clients
- Build and maintain CI CD pipelines in GitHub Actions
- Configure secure scalable cloud environments
- Deploy and operate containers with Docker and Kubernetes
- Design and implement Agentic workflows
- Design and implement GCP landing zones
- Develop FastAPI microservices
- Develop Python automation and ETL workflows
- Ensure standards and compliance for AI services
- Implement RAG with vector and structured knowledge sources
- Implement infrastructure as code with Terraform
- Integrate REST APIs and Webhooks
- Manage incident response for AI systems
- Monitor application and infrastructure for SLO SLI and SLA
- Perform prompt engineering
- Produce technical documentation runbooks and architecture diagrams
Perks/Benefits
- Accident insurance
- Certification sponsorship
- Childcare assistance reimbursement
- Employee assistance program
- Health insurance
- Health screening
- Life insurance
- Paid leave
- Parental leave
Skills/Tech-stack
Artifactory | Artificial Intelligence | Bash | CI/CD | Cloud platform | DevOps | Docker | ETL | FastAPI | GCP | GitHub Actions | Google Cloud | Google Cloud Platform | Google Kubernetes | Google Kubernetes Engine | Helm | IAM | Incident Management | Infrastructure as Code | Kubernetes | Kubernetes Engine | MCP | Machine Learning | Observability | OpenShift | Prompt engineering | Python | RAG | REST API | Retrieval-Augmented Generation | Secrets management | Terraform | VPC | Vector Database | Webhooks | “as-code”
Education
N/A
Roles
AI | AI DevOps Engineer | DevOps | DevOps Engineer | Engineer
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