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Senior, Platform Engineer

GSK·Bengaluru

Pay not stated15–27 yrsFull-time
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About the role

Behind every AI product shipped is a shared platform: the Accelerator platform estate, GitHub Copilot, Claude Code/Cowork, Databricks AI Assistant, and Google Cloud data and AI services (BigQuery, Vertex AI, and GKE or Cloud Run).

What you'll do

  • Run the Google Cloud and SaaS platforms that Enterprise AI uses to build AI solutions, including BigQuery, Vertex AI, GKE or Cloud Run
  • Own Google Cloud platform architecture : design and operate BigQuery and Vertex AI environments, including partitioning, reservations, and cost controls
  • Apply SRE principles : service-level objectives, observability (Cloud Monitoring, OpenTelemetry), capacity planning
  • Use AI coding assistants as the default mode of work; build automations that handle routine platform tasks at scale, using Claude Code, Codex, GitHub Copilot
  • Manage the platform estate through Infrastructure-as-Code (Terraform, GitOps, and CI/CD) so configurations are versioned, auditable

What you need

  • 15–27 years in devops & cloud
  • Terraform
  • CI/CD
  • GCP
  • Python
  • Databricks
  • BigQuery
  • B.Tech or B.E. or B.Sc or BCA or M.Tech or MCA or M.Sc

Good to have

  • Azure
  • Machine learning
  • SOX
  • Git
  • IAM
  • SQL

What you get

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