Overview
Associate Platform Engineer on Enterprise AI's platform team, learning platform engineering in a production AI setting while delivering defined platform tasks under direction from senior engineers.
What you'll do
- Maintain runbooks, FAQs, and onboarding materials for the platforms, contributing to institutional knowledge.
- Apply established platform standards and patterns; flag inconsistencies to senior engineers.
- Build familiarity with the platform estate and developer tooling stack (GitHub Copilot, Claude Code/Cowork, Codex, Databricks AI Assistant, Accelerator platform) and core Google Cloud services (IAM, Cloud Storage, BigQuery, Cloud Run, Vertex AI).
- Learn GCP security basics (IAM, Secret Manager, data access controls) and grow toward CMEK, VPC Service Controls, and GxP awareness over time.
- Actively learn from senior engineers and build the skills to grow into Platform Engineer I responsibilities.
What you'll need
- Bachelor's degree in Computer Science, Software Engineering, or equivalent practical experience.
- About 2 years of experience or a relevant internship in software engineering, cloud platforms, or DevOps.
- Working proficiency in Python and SQL.
- Working knowledge of at least one cloud platform (GCP preferred; Azure or AWS acceptable).
- Hands-on use of Terraform or another IaC tool, and basic CI/CD pipeline experience.
- Daily use of AI coding agents (Claude Code, Codex, GitHub Copilot, Databricks AI Assistant) as a primary development mode.
Nice to have
- Familiarity with GitOps, container tooling (Docker, Cloud Run or GKE), or CI/CD pipelines.
- Coursework or projects involving AI/ML systems or LLM applications.
- Exposure to BigQuery, Vertex AI, or Databricks through a project, internship, or coursework.
- Foundational cloud certification (Google Cloud Digital Leader, Associate Cloud Engineer, Azure Fundamentals, or similar).
Details
- Location: Bengaluru Luxor North Tower, India.
Read the full description and apply on the company’s own careers page.