Google Cloud Platform Infrastructure Tech Lead (Data Mesh & AI Platforms)

Quick Facts

• Role: Tech Lead for GCP Infrastructure and AI Platforms (Data Mesh & AI)

Description

You will lead and hands-on build secure, automated, reusable Google Cloud Platform (GCP) foundations for data mesh and AI platform capabilities. The role focuses on platform infrastructure and automation so teams can provision and run modern data and AI solutions safely and consistently at scale in a regulated banking environment. You will set engineering direction, coach engineers, and clearly communicate technical decisions to stakeholders.

Responsibilities

• Set technical direction for GCP infrastructure and AI platform capabilities while staying hands-on in design, build, and validation
• Perform hands-on engineering using Terraform, CI/CD, GCP configuration, troubleshooting, and production-readiness improvements
• Design, mature, and operate secure GCP platform foundations (landing zones, identity integration, IAM, networking, observability, logging, and policy guardrails)
• Build reusable Terraform modules and platform patterns for standards on access, networking, secrets, monitoring, cost, and lifecycle management
• Drive pragmatic adoption of GCP data and AI platform services (Vertex AI, BigQuery, Dataflow, and related services)
• Coach engineers via collaboration, code reviews, design reviews, and practical delivery of reusable platform patterns
• Collaborate with product, data, architecture, cybersecurity, and governance teams to align with regulatory expectations
• Own and communicate the technical roadmap balancing speed, scalability, cost, compliance, and reliability

Requirements

• 10+ years of experience in cloud/infrastructure/platform engineering, DevOps, or similar technical leadership roles
• Expert-level GCP infrastructure and provisioning with Terraform as an essential skill
• Strong experience with GCP services for data and AI platforms: Vertex AI, BigQuery, Dataflow, Cloud Composer, Cloud Run, GKE, Pub/Sub, Cloud Storage, Cloud Logging, Cloud Monitoring
• Strong understanding of IdP integration, IAM, federation, workload identity, and secure access patterns
• Experience building production-grade CI/CD pipelines, observability, and operational controls
• Ability to evaluate trade-offs between speed, cost, scalability, resilience, and compliance
• Strong communication skills for explaining platform decisions and documenting patterns

Benefits

• Hybrid working arrangement with up to 40% remote work (full remote not allowed)
• Join a small, agile, highly technical team with a mandate to drive enterprise impact