Infrastructure Engineer – L3

SourcingXPress; Hyderabad; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Hallmark Search Partner is looking for a lead Infrastructure/SRE to own architecture, scalability, and reliability for AI-powered healthcare workloads. You will define the technical direction for AWS/GCP, Kubernetes, and GitOps, building platform capabilities that power real-time workflows.

Responsibilities include setting SRE targets, managing incidents, RCAs, and blameless post-mortems, and partnering on SOC 2/HIPAA compliance.

Qualifications

• 4–7 years infrastructure/platform/DevOps/SRE experience.
• Deep expertise in AWS & GCP large-scale production systems.
• Advanced Kubernetes cluster design and multi-tenant ops.
• AI/ML inference or GPU infrastructure scaling in production.
• Strong Terraform and GitOps practices.
• Python, Go, or Bash scripting for automation.
• Track record in scale, reliability, and cost efficiency.
• Lead incident response and on-call practices.

Responsibilities

• Design scalable, secure AWS/GCP architectures for AI workloads.
• Own IaC standards and GitOps practices across org.
• Architect HA Kubernetes for scale and GPU workloads.
• Define SLOs/SLIs and drive SRE practices.
• Lead incident management and post-mortems.
• Ensure SOC 2 and HIPAA compliance.
• Oversee AI/ML inference infrastructure in production.
• Mentor engineers and drive SDLC DevSecOps maturity.

Skills

SRE

DevOps

Kubernetes

Terraform

GitOps

Python

Go

Bash

Incident response

Tools

AWS

GCP

Kubernetes

Terraform

GitOps

CI/CD

Job description

Job Description

This is a Permanent full-time role with our Esteem Customer

About The Job

About transforming healthcare operations with AI-powered automation across scheduling, lab follow-ups, eligibility checks, prior authorization, and insurance verification. Our multimodal AI agents work across voice, email, chat, fax, and EHR integrations improving patient access, reducing staff burden, and accelerating care delivery. We serve 2,000+ physicians and healthcare providers, delivering measurable outcomes, 20–30% fewer no-shows and thousands of staff hours saved. Now, we're scaling our AI platform and we want you to help lead that charge.

Company: Hallmark Search Partner

Business Type: Enterprise

Company Type: Product & Service

Business Model: B2C

Funding Stage: IPO/Public

Industry: Software Development

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

• 4–7 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 To Join?

• 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