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)
- Solid 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

Skills:- Kubernetes, Amazon Web Services (AWS), Google Cloud Platform (GCP), Graphics Processing Unit (GPU), Python, Bash, DevOps, Reliability engineering, MLOps, GKE, Artificial Intelligence (AI), Machine Learning (ML), MLFlow, kubeflow, DevSecOps, SBOM, Terraform, Ansible, Anthropic Claude, Cursor, GitHub Copilot, Agentic AI, Generative AI, AI Agents, cicd and Large Language Models (LLM)

📌 Senior SRE / DevOps / Infrastructure Engineer – AI Agentic Systems (Hyderabad)
🏢 Recruiting Bond
📍 Hyderabad