Fi Money · Bangalore

Member of Technical Staff (MTS) – DevOps & Infrastructure

Posted 19 May 2026 · found on Fi Money's careers page 23 Sep 2026, 14:45 UTC

DevOps MTS to architect GCP/AWS infrastructure and lead cloud migration at AI-native platform startup.

Stack: google cloud, aws, docker, kubernetes, terraform, shell scripting

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About the role

About Us Tetriz is an AI Engineering Intelligence platform that helps engineering organizations become AI-native, faster. We measure how AI coding tools like Cursor, Claude Code, and GitHub Copilot are actually used, improve engineer effectiveness through prompt and workflow coaching, and help engineering leaders demonstrate AI ROI with board-ready, defensible insights. The Role & Technical Depth Our systems require low-latency, highly resilient infrastructure to handle complex multi-agent orchestration. We are looking for an infrastructure engineer to fully own our environments, lead an upcoming cloud migration, and build the foundation for our AI workflows. Architect from Scratch: Design, secure, and maintain cloud infrastructure, orchestration layers, and CI/CD pipelines for our new AI-first tech stack. Foundational Migration: Fully own and execute the transition of our core infrastructure from historical setups into a clean, modern, immutable framework. Production Guardrails: Implement deep monitoring, log aggregation, and real-time alerting systems to ensure dynamic AI loops don't experience state drift or silent failures in production. Our Expected Stack: Heavy reliance on GCP / AWS , Docker / Kubernetes , Infrastructure as Code ( Terraform / OpenTofu ), modern CI/CD tools, and shell scripting. Who You Are Experience: 2+ years of core DevOps/Infrastructure experience. Startup DNA: Highly preferred if you have spent time in fast-paced, high-growth startups. You must be entirely comfortable working through ambiguity and shifting technical requirements. Strong Fundamentals: You understand network layers, operating system internals, and distributed systems at a first-principles level. Tool fluency is secondary to deep foundational knowledge.

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