Role Summary:

- Ensure reliability, availability, security, and performance of end to end AI services running on Azure.
- Operate and monitor critical AI infrastructure (AKS, App Gateway, Portkey, LangSmith, Redis, Postgres, Imperva).
- Blend 247 AI Operations with SRE best practices (SLOs, error budgets, postmortems, automation).
- Own identity, access, and secrets governance across the entire AI platform.
- Drive faster incident response, predictable cost, and improved system resiliency.
- Use Grafana as the central command center for monitoring, alerting, and operational insights.

Key Responsibilities:

- Real Time Ops & Incident Response.
- Site Reliability Engineering.
- Azure & Platform Reliability.
- Identity, Access & Secrets Management (IAM).
- Cost, Capacity & Performance.
- Automation & Tooling

Must Have Qualifications:

- 3-5 years in SRE / DevOps / Platform Engineering / AI Ops, including on call.
- Strong Azure expertise: AKS, Application Gateway, VNets, Key Vault, Azure Monitor.




- Solid Kubernetes experience: RBAC, networking, Helm, workloads, autoscaling.
- Strong IAM knowledge: Entra ID (Azure AD), RBAC, PIM/JIT, access reviews, workload identities.
- Experience running and tuning Redis and PostgreSQL in production.
- Deep familiarity with Grafana, Prometheus.
- Hands on scripting (Python/ Bash/PowerShell) for automation.
- Strong incident management, troubleshooting, and RCA skills.

Valuable to Have Skills:

- Experience with Portkey, LLM gateways, or AI inference systems.
- Experience with LangSmith, chain/agent observability, or AI workflow tracing.
- GitOps tools.
- OAuth2/OIDC, mTLS, SCIM, secrets rotation programs.
- Security tools: Imperva, Azure WAF, Defender for Cloud, Sentinel.
- Chaos engineering familiarity.
- Certifications: AZ 104, AZ 305, AZ 400, Security/Networking.

📌 Senior Engineer Software (Bengaluru)
🏢 Albertsons Companies India
📍 Bengaluru