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Infrastructure Engineer - Sarvam AI

About Company

The Sarvam AI Reasoning team is building sophisticated reasoning capabilities for India's first sovereign AI platform. We are seeking a talented Infrastructure Engineer to join our team. In this role, you'll be responsible for designing and implementing cloud-native infrastructure, deployment automation, and service networking for our AI platform. You'll work closely with our development and reliability teams to build a secure, scalable foundation that supports our sophisticated AI reasoning capabilities. Your expertise will be instrumental in creating an infrastructure that maintains both high performance and cost efficiency while operating across distributed environments.

This challenging position offers the opportunity to work with cutting-edge infrastructure technologies supporting AI workloads. We seek candidates with strong expertise in infrastructure as code, Kubernetes orchestration, and modern deployment practices who can demonstrate technical excellence in cloud architecture.

Skills & Qualification

• Bachelor's/Master's Degree in Computer Science or related field from a top-tier institution
• 3-5 years of experience in Platform Engineering, DevOps, or Cloud Infrastructure roles
• Demonstrated expertise in infrastructure as code using Terraform and Helm charts
• Strong experience with Kubernetes administration and container orchestration
• Proficiency in implementing service mesh technologies and zero trust network models
• Extensive knowledge of continuous deployment strategies and GitOps workflows
• Experience with edge computing and global CDN architectures
• Understanding of cloud cost optimization and FinOps principles
• Experience implementing and managing API gateway solutions
• Strong scripting skills in languages like Python, Bash, or Go
• Excellent problem-solving abilities and system architecture design skills

Responsibilities

• Define and implement infrastructure deployments using a combination of Terraform for cloud resources and Helm for Kubernetes application delivery
• Implement service mesh topologies and network policies for zero trust network architecture
• Own blue/green, canary, and progressive deployment mechanisms for the entire platform
• Implement GitOps workflows for declarative infrastructure and application deployments
• Design edge computing infrastructure and global CDN integration with geographic routing
• Manage container orchestration with secure node configuration and pod security policies
• Implement infrastructure-level auto-scaling and resource optimization practices
• Own cloud FinOps practices and resource utilization optimization strategies
• Implement API gateway and management platforms for service exposure
• Collaborate with security teams to ensure infrastructure meets compliance requirements
• Document infrastructure architecture and operational procedures
• Mentor junior engineers on cloud-native best practices and infrastructure automation