Role: Senior DevOps Engineer

Function: DevOps/Infrastructure Engineering

Location: Mumbai, India

Type: Full-time

Industry: AI Technology

About Company

The company is building the AI layer for Bharat at India-scale. Backed by partnerships with global tech leaders like Meta and Google, the team is creating AI that serves the entire Indian user base—across languages, contexts, and daily needs. This is AI designed for real adoption, not experiments.

They bring a rare combination of deep India-first AI capability and unmatched India-scale distribution. The focus is a platform-and-product stack that makes AI useful, reliable, and safe for everyday consumers. It’s engineered from day one for massive scale—100M+ users early and 1B-ready constraints on latency, cost, reliability, and safety.

If you want to be part of a fast-moving, high-ambition team building technology with real-world reach, this is that opportunity. The culture emphasises engineering excellence, strong collaboration, and tangible impact across sectors that matter to India—while building toward a category-defining consumer AI experience.

Position Overview

Join our platform engineering team to build and maintain the GCP infrastructure that powers Reliance Intelligence's AI services. You'll work on containerization, CI/CD pipelines, cloud infrastructure, and monitoring systems that support our large-scale AI platform serving millions of users.

Responsibilities

• Build and maintain Docker containers and deployment configurations for AI services on Google Cloud Platform
• Implement and manage CI/CD pipelines using Google Cloud Build for automated ML model deployment
• Monitor and maintain GCP infrastructure including Compute Engine instances, Cloud Storage, and networking components
• Set up monitoring and alerting systems using Google Cloud Monitoring for AI services availability
• Collaborate with engineering teams to optimize deployment processes using Cloud Run and GKE
• Troubleshoot GCP infrastructure issues and participate in incident response for production systems
• Maintain documentation for GCP infrastructure processes, runbooks, and deployment procedures

Must-Have Requirements

• 5+ years of DevOps, SRE, or infrastructure engineering experience handling billions of transactions
• Strong hands-on experience with Docker containerization and container deployment at enterprise scale
• Proficiency in Google Cloud Build for CI/CD pipeline implementation and management
• Experience working with Google Cloud Platform services including Compute Engine and Cloud Storage
• Knowledge of Terraform for Infrastructure as Code on Google Cloud Platform
• Experience with Google Cloud Monitoring and logging for production system observability
• Strong Linux/Unix system administration skills and command-line proficiency

Nice to Have

• Experience with Google Kubernetes Engine (GKE) for container orchestration
• Familiarity with ML workloads and AI/ML infrastructure on Google Cloud Platform
• Experience with Cloud Run for serverless container deployment
• Knowledge of Python or Bash scripting for GCP automation tasks

What We Offer

• Opportunity to build AI infrastructure at unprecedented scale with cutting-edge technology
• Work with global tech leaders and contribute to India's AI ecosystem development
• Competitive compensation package
• Access to world-class resources and partnerships with Meta, Google, and other tech giants
• Impact millions of users through AI solutions across education, healthcare, and agriculture