Role : Lead DevOps Engineer

Hyderabad, India | Full-Time | On-site / Hybrid

Experience: 69 Years

The Role:

Build and scale the cloud infrastructure powering our real-time healthcare AI applications across Voice AI, Agentic AI, and Multimodal LLM systems. You'll own platform engineering, developer productivity, infrastructure automation, and AI infrastructure scalability.

What You'll Do:

Platform & Cloud Engineering:

- Design scalable AWS and GCP architectures.

- Build highly available Kubernetes platforms.

- Drive multi-region infrastructure design.

DevOps & Automation:

- Build and optimize CI/CD pipelines.

- Implement GitOps practices.

- Automate infrastructure provisioning using Terraform.

AI Infrastructure:

- Deploy and scale GPU workloads.

- Build infrastructure for LLM inference.

- Support AI model serving and orchestration.

Security & Reliability:

- Implement DevSecOps best practices.

- Support SOC2 and HIPAA initiatives.

- Drive cost optimization and infrastructure governance.

What We're Looking For:

- 69 years in DevOps, Platform Engineering, SRE, or MLOps.

- Deep expertise in:

1. AWS

2. GCP

3. Kubernetes

4. Terraform

5. Docker

- Strong experience with:

1. GitHub Actions

2. GitLab CI

3. Jenkins

4. ArgoCD

- Strong scripting skills:

1. Python

2. Go

3. Bash

- Experience operating production AI systems and GPU infrastructure.

Why Join Us?:

- Build infrastructure powering the future of healthcare AI.

- Solve large-scale distributed systems challenges.

- High ownership and technical leadership opportunities.