Senior Site Reliability Engineer – L3 (AI/ML)

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