Senior Site Reliability Engineer

SourcingXPress; Hyderabad; On-site; INR 3,000,000 - 5,000,000; Full time

Job summary

SourcingXPress in Hyderabad, India is seeking a skilled infrastructure architect to lead the technical direction for AI-driven healthcare solutions. This role includes designing scalable cloud architectures, mentoring engineers, and guiding incident management practices.

The ideal candidate will have extensive experience in multi-cloud environments, particularly with AWS and GCP, as well as advanced Kubernetes expertise. Join us to build impactful infrastructure that enhances patient outcomes and streamlines operations.

Qualifications

• 5–8 years in Infrastructure, Platform, DevOps, or SRE roles.
• Deep expertise managing large-scale production systems in AWS and GCP.
• Advanced Kubernetes skills spanning cluster design, multi-tenancy, and resource quotas.

Responsibilities

• Design scalable, secure AWS/GCP architectures for AI and healthcare workloads.
• Lead incident management, RCA, and blameless post-mortems for critical systems.
• Evaluate and introduce AI tooling, platforms, and automation best practices.

Skills

Infrastructure management

Kubernetes

AWS

GCP

Terraform

AI/ML Ops

Incident management

Job description

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.

Company

• Recruiting Bond
• Business Type: Startup
• Company Type: Product
• Business Model: B2B
• Funding Stage: Seed
• Industry: Healthcare
• Salary Range: ₹ 30-50 Lacs PA
• Website: Visit Website

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

Experience

• 5–8 years in Infrastructure, Platform, DevOps, or SRE roles.
• Multi‑Cloud: Deep expertise managing large‑scale production systems in AWS and GCP.
• Orchestration: Advanced Kubernetes skills spanning cluster design, multi‑tenancy, and resource quotas.
• AI/ML Ops: Proven track record scaling GPU infrastructure and production AI/ML inference.
• Automation: Strong Terraform (or equivalent) proficiency integrated with GitOps workflows.
• Development: Solid scripting and automation capabilities using Python, Go, or Bash.
• Metrics: Demonstrated history of driving system scale, high reliability, and cost efficiency.
• Operations: Experience leading incident response management and structuring on‑call practices.

Preferred Qualifications

• Architecture and optimization experience with LLM Gateways.
• Knowledge of Zero‑Trust networking and compliance frameworks like SOC 2 and HIPAA.
• Focus on DevSecOps maturity, including SBOM, supply‑chain security, and policy‑as‑code.
• Background in platform team leadership or active open‑source community contributions.

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