Senior SRE / DevOps / Infrastructure Engineer – AI Agentic Systems

Role Overview: Take full ownership of infrastructure architecture, scaling, and uptime. Establish the technical roadmap, shape and formalize the SRE function, and coach engineers. Design, deploy, and run AI-scale infrastructure that enables real-time healthcare workflows.

Serve as a Founding Member, owning end-to-end infrastructure capabilities and introducing AI-first DevOps, SRE, and MLOps best practices, with direct collaboration alongside the Founder, Co-Founder, and Head of Engineering.

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

Key Requirements

4–8 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 Role?

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

Founding Member role and own the entire infrastructure capabilities, including bringing best AI-first practices in DevOps, SRE and MLOps; direct access to work with the Founder, Co-Founder and Head of Engineering