Overview

Educational Qualification

Responsibilities

• Own the platform infrastructure strategy for the AI capability programme across all six pods, covering CI/CD, environment provisioning, secrets management, observability, and reliability engineering
• Design and maintain multi-environment infrastructure (development, staging, production) with appropriate isolation, promotion gates, and security controls for classified, internal, and public workloads
• Define infrastructure-as-code standards (Terraform, Ansible, or equivalent) and drive their adoption across pods
• Establish the observability stack metrics, logs, tracing, alerting — covering both AI-model and application layers, in coordination with the MLOps Lead
• Own incident response protocols and on-call rotation across the programme; conduct post-incident reviews and drive corrective actions
• Define availability and reliability SLOs for each pod's production services; track error budgets and coordinate with Product Managers on trade-offs
• Oversee infrastructure security hardening — network policies, WAF operations, DDoS protection, VAPT remediation at infrastructure layer — in coordination with the Security &
• Compliance Engineer
• Manage relationships with NIC, IndiaAI Compute, MeghRaj, and other government infrastructure providers; coordinate capacity planning and reserved-versus-on-demand mixing
• Ensure Data Residency, Data Storage, and Data Lifecycle Management compliance per the LoE (data within India, AES-256 at rest, TLS 1.3 in transit, sanitisation at project closure)
• Mentor DevOps/SRE Engineers and coordinate with MLOps Lead on shared platform responsibilities
• Container &
• Orchestration: Docker, Kubernetes (production-grade), Helm, service mesh (Istio, Linkerd), operators; certified Kubernetes administrator credentials preferred
• Infrastructure as Code: Terraform, Ansible, Pulumi, or equivalent
• GitOps workflows (Argo CD, Flux)
• Cloud Platforms: AWS, Azure, GCP; government infrastructure (NIC, MeghRaj); familiarity with IndiaAI Compute service model
• CI/CD: Jenkins, GitLab CI, GitHub Actions, Argo Workflows; artefact repositories (Nexus, Harbor)
• Observability: Prometheus, Grafana, OpenTelemetry, Loki, Tempo, Jaeger
• SLO/SLI methodology; incident management platforms
• Infrastructure Security: Network security, secrets management (HashiCorp Vault, Infisical), certificate management, zero-trust patterns
• Reliability Engineering: SRE principles, error budgets, capacity planning, chaos engineering basics, disaster recovery and business continuity
• Scripting &
• Programming: Bash, Python, Go for tooling and automation
• Compliance &
• Governance: MeitY Security Policy, ISO 27001, incident reporting timelines (24- hour breach reporting per LoE), audit trail management

Qualifications

• 8+ years in infrastructure engineering, DevOps, or Site Reliability Engineering, with minimum 3 years in a lead or architect role
• Demonstrated experience running production infrastructure for high-availability platforms at scale
• Prior experience with government-hosted infrastructure (NIC, MeghRaj) or MeitY-empanelled CSPs preferred
• Experience with on-premise, hybrid, and sovereign-cloud deployment models

Education

• B.Tech./B.E. in Computer Science, Information Technology, or related engineering discipline (Must have)
• M.Tech./M.S. in Computer Science, Information Technology, or related field desirable
• Certifications in DevOps, SRE, or Cloud Infrastructure (AWS, Azure, GCP, or Kubernetes CKA/CKS) preferred
• ITIL or equivalent service management certification desirable