Associate, Platform Engineer
- Location
- Bengaluru, Karnataka, IN
- Work mode
- On-site
- Employment type
- Full-time
About the job
Enterprise AI’s platform team needs engineers who are learning the trade in a production AI setting. The Associate Platform Engineer builds the pipeline of platform engineering capability the team needs as its portfolio grows.
• Delivers defined platform tasks under direction from senior engineers, contributing to the health and quality of the platform estate.
- Delivers defined platform tasks under direction from senior engineers, contributing to the health and quality of the platform estate.
- Builds AI-native fluency from the start. AI coding assistants are the default mode of work, not an occasional aid.
- Grows into full Platform Engineer responsibility with active support and mentorship from the Lead and Senior Platform Engineers.
• Maintain runbooks, FAQs, and onboarding materials for the platforms, contributing to institutional knowledge.
- 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).
- 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.
• Bachelor’s degree in Computer Science, Software Engineering, or equivalent practical experience. Required skills : About 2 years of experience or a relevant internship in software engineering, cloud platforms, or DevOps.
• Working proficiency in Python and SQL.
- 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.
- 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).
From Students Circles India's careers page (Company careers page), checked 29 Oct 2026.
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Posted 28 Oct 2026 · checked 29 Oct 2026 · Report this job