Senior Site Reliability Engineer – L3

Senior SRE Engineer

? Location: Hyderabad, India

? Work Type: Full time | On-site / Hybrid

? Experience: 5–8 Years

- Role Overview

Own infrastructure architecture, scalability, and reliability. Set technical direction, define SRE practice, and mentor engineers. Build and operate AI-scale infrastructure powering real-time healthcare workflows.

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

• 5–8 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)
- Strong 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

Why This Opportunity?

• Build infrastructure and products powering real-world healthcare AI

- Work with AI-native engineering teams using cutting-edge tools (Claude Code, Cursor, Copilot)
- Mission-driven impact — improve patient outcomes and save thousands of staff hours
- High ownership, rapid learning, and significant career upside
- Global collaboration across India and the US
- Seed-stage growth — scale from Seed to Series A alongside the team

📌 Senior Site Reliability Engineer –(AI/ML) (Hyderabad)
🏢 Recruitingbond
📍 Hyderabad