Senior Infrastructure Engineer

SourcingXPress; Hyderabad; On-site; INR 2,000,000 - 3,500,000; Full time

Benefits offered by this job

High ownership

Rapid learning opportunities

Career advancement potential

Job summary

SourcingXPress is seeking a DevOps Engineer in Hyderabad to build and operate cloud infrastructure that powers AI agents and healthcare workflows. This role requires 3–5 years of experience in DevOps, knowledge of AWS and GCP, and proficiency with CI/CD and infrastructure as code tools.

You will manage production environments, optimize developer productivity, and respond to incidents while contributing to AI-driven projects that significantly impact healthcare outcomes.

Qualifications

• 3–5 years of experience in DevOps, SRE, or Infrastructure Engineering.
• Hands-on experience with AWS & GCP environments.
• Proficiency in Docker & Kubernetes.

Responsibilities

• Manage AWS/GCP production environments ensuring reliability and uptime.
• Build and optimize CI/CD pipelines and automate infrastructure.
• Implement monitoring and logging solutions for operations.

Skills

AWS

GCP

Docker

Kubernetes

Terraform

CI/CD

Python scripting

Linux fundamentals

Tools

Prometheus

Grafana

GitHub Actions

Jenkins

Job description

Job Description

Build and operate cloud infrastructure powering our Clients real‑time AI agents, healthcare workflows, voice systems, and enterprise integrations. Ideal for engineers who leverage AI tools daily and believe in AI‑assisted software and infrastructure development.

Company

Recruiting Bond

Website

Visit Website

Business Type

Startup

Company Type

Product

Business Model

B2B

Funding Stage

Seed

Industry

Healthcare

Salary Range

₹ 20-35 Lacs PA

Key Responsibilities

Infrastructure & Reliability

• Manage AWS/GCP production environments; own reliability, uptime, and disaster recovery
• Support Kubernetes (EKS/GKE) workloads and build scalable, highly available infrastructure
• Define SLIs, SLOs, and operational metrics

DevOps & Platform Engineering

• Build and optimize CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins)
• Automate deployments and infrastructure provisioning via Terraform/CloudFormation
• Improve developer productivity and release velocity across the SDLC

Observability & Operations

• Implement monitoring, logging, and alerting (Prometheus, Grafana, CloudWatch, ELK)
• Participate in incident response, root‑cause analysis, and blameless post‑mortems

AI‑First Engineering

• Leverage Claude Code, Cursor, Copilot and similar AI tools in daily operations
• Support AI/ML inference and LLM workload deployment pipelines
• Contribute to AI infrastructure automation and self‑healing systems

Requirements

• 3–5 years in DevOps, SRE, or Infrastructure Engineering
• Hands‑on with AWS & GCP (EC2/GCE, S3/GCS, VPC, IAM, EKS/GKE)
• Docker & Kubernetes in production
• AI/ML inference or GPU infrastructure scaling
• IaC tools: Terraform / CloudFormation
• CI/CD: GitHub Actions, GitLab CI, or Jenkins
• Python or Bash scripting; Linux & networking fundamentals
• Strong ownership mindset and AI‑first working style

Nice‑to‑Have

• LLM Gateway deployment & management
• Service mesh, secrets management, policy‑as‑code (ArgoCD, Flux)
• SDLC/GitOps maturity (sealed‑secrets, SBOM, supply‑chain security)
• Healthcare technology or startup experience

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