- 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.

Technical Competencies :

- 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.

Experience :

- 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.

Educational Qualification :

- 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.