Senior Site Reliability Engineer – L3

Senior SRE Engineer

Location: Hyderabad, India

Work Type: Full-Time | In office / 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