Key Responsibilities

Architecture & Platform

- Design scalable, secure, cost-efficient AWS/GCP architectures for AI and healthcare workloads

- Lead IaC standards and reusable modules org-wide; own GitOps practices

- Architect optimized Kubernetes (EKS/GKE) for HA, scale, and GPU workload orchestration

Reliability Engineering

- Define and drive reliability targets (SLOs/SLIs); establish SRE practice

- Lead incident management, RCA, and blameless post-mortems for critical systems

- Partner on infrastructure hardening and compliance (SOC 2, HIPAA)

AI-First Engineering

- Lead AI/ML inference and GPU infrastructure scaling in production

- Evaluate and introduce AI tooling, platforms, and automation best practices

- Contribute to LLM deployment pipelines and AI systems reliability

Leadership & SDLC

- Mentor L1/L2 engineers; influence cross-team infrastructure decisions

- Drive DevSecOps maturity across the SDLC (policy-as-code, SBOM, supply-chain security)





- Evaluate and introduce new tooling and platforms

Requirements

- 47 years infrastructure/platform/DevOps/SRE

- Deep expertise in AWS & GCP large-scale production systems

- Advanced Kubernetes (cluster design, multi-tenant ops, resource quotas)

- AI/ML inference or GPU infrastructure scaling (production track record)

- Robust Terraform / equiv. and GitOps practices

- Python, Go, or Bash scripting and automation

- Track record in scale, reliability, and cost efficiency

- Lead incident response and on-call practices

Nice-to-Have

- LLM Gateway architecture and optimization

- Zero-trust networking and advanced security/compliance (SOC 2, HIPAA)

- DevSecOps maturity: SBOM, supply-chain security, policy-as-code

- Open-source contributions or platform-team leadership

📌 Infrastructure Engineer (Hyderabad)
🏢 Ace Recruit
📍 Hyderabad