GCP Cloud Engineer (Data Mesh & AI Platforms)

Quick Facts

• Role: GCP Cloud Engineer for Data Mesh & AI Platforms (hands-on)

• Focus: Secure, automated, reusable GCP infrastructure and platform capabilities for data and AI in a regulated banking environment

Description

Build and improve secure, automated, reusable GCP infrastructure and platform capabilities so internal teams can safely provision and operate data and AI solutions. You will design GCP platform patterns, automation, and operational controls using infrastructure-as-code and CI/CD. You will also translate platform priorities and agreed engineering standards into backlog items, implementation plans, and technical documentation.

Responsibilities

• Build, configure, and improve GCP infrastructure foundations using Terraform and automated delivery pipelines

• Implement reusable Infrastructure-as-Code modules for projects, networking, IAM, service accounts, secrets, logging, monitoring, and policy guardrails

• Support secure GCP landing-zone patterns, including organization/project structure, Shared VPC, network segmentation, private connectivity, firewall policies, and environment isolation

• Create and maintain CI/CD pipelines for provisioning, validation, testing, deployment, and lifecycle management of platform components

• Implement identity and access patterns (federation, workload identity, least-privilege IAM, service account governance, secure access workflows)

• Support GCP data and AI platform enablement including Vertex AI, BigQuery, Dataflow, Pub/Sub, Cloud Storage, Cloud Composer, and related integrations

• Build observability and operational controls using Cloud Logging, Cloud Monitoring, alerting, dashboards, runbooks, and production-readiness checks

• Collaborate with cybersecurity, governance, and architecture teams to ensure platform capabilities meet security, compliance, and operational expectations

• Contribute to code reviews, pattern reviews, testing practices, and continuous improvement of the GCP platform engineering experience

Requirements

• Several years of experience in cloud engineering, infrastructure engineering, platform engineering, DevOps, or similar roles

• Practical experience building or operating production-grade infrastructure on GCP

• Strong Terraform and automation experience, including reusable module design and infrastructure lifecycle management

• Solid understanding of cloud networking, IAM, security controls, secrets management, and operational monitoring

• Experience with CI/CD tools and modern software engineering practices (code review, version control, testing, documentation)

• Interest in GCP data and AI services, especially Vertex AI, BigQuery, Dataflow, and related platform capabilities

• Ability to work in a regulated enterprise environment where compliance, resilience, and auditability matter

• BSc/MSc in a relevant field (or equivalent practical experience)

Benefits

• Hybrid working arrangement (up to 40% remote work possible; full remote not allowed)