Tech Lead - Google Cloud Platform Infrastructure, Data Mesh and AI Platforms team

Join the Data Mesh and AI Platforms team as an experienced, hands-on Tech Lead focused on infrastructure and platform capabilities on Google Cloud Platform (GCP). Shape, build, and operate secure, automated, reusable GCP foundations that enable teams to provision and run modern data and AI solutions consistently at scale in a regulated banking environment.

This is a build-and-evolve role. Lead the technical direction and hands-on execution for GCP-based platforms supporting predictive AI, generative AI, and agentic workflows, with security, compliance, reliability, and developer experience built in from the start. Work closely with product owners, engineers, architects, cybersecurity, data governance, and cloud platform teams.

Hybrid working arrangement: up to 40% remote work is possible; full remote work is not available. Expected hiring locations: Gdańsk or Gdynia, Poland; Copenhagen, Denmark; or Helsinki, Finland.

Responsibilities

• Set the engineering direction for GCP infrastructure and AI platform capabilities while remaining hands-on in the design, build, and validation of core platform patterns.
• Perform hands-on engineering, including Terraform, CI/CD, GCP configuration, troubleshooting, and production-readiness improvements.
• Lead hands-on work across GCP infrastructure, platform automation, provisioning, CI/CD, and reusable infrastructure-as-code patterns.
• Design, mature, and operate secure GCP foundations, including organization and project structure, landing zones, identity-provider integration, IAM, networking, observability, logging, and policy guardrails.
• Build reusable Terraform modules and platform patterns for reliable GCP environment provisioning, covering access, networking, secrets, monitoring, cost, and lifecycle management.
• Drive pragmatic adoption of GCP data and AI services, particularly Vertex AI, BigQuery, and Dataflow, for safe use in a banking-grade environment.
• Coach engineers through hands-on collaboration, code reviews, design reviews, and delivery of reusable platform patterns.
• Collaborate with product owners, data scientists, architects, cybersecurity, and governance teams to align technical decisions with business priorities and regulatory expectations.
• Own and communicate the technical roadmap for GCP infrastructure and platform capabilities, balancing speed, scalability, cost, compliance, and operational reliability.
• Translate technical complexity into clear recommendations, decision points, and status updates for technical and non-technical stakeholders.

Key skills

• Strong hands-on experience with GCP organizations, folders, projects, landing-zone patterns, Shared VPC, Cloud NAT, firewall policies, private connectivity, and environment isolation.
• Expert understanding of IAM design, least-privilege access, federation, workload identity, service accounts, secrets management, key management, and policy guardrails.
• Excellent Terraform skills, including modular design, reusable patterns, testing, versioning, state management, and promotion across environments.
• Ability to build reliable platform pipelines for provisioning, validation, deployment, policy checks, release management, and lifecycle management.
• Practical knowledge of Vertex AI, BigQuery, Dataflow, Pub/Sub, Cloud Storage, Cloud Composer, and related integration patterns.
• Experience with Cloud Logging, Cloud Monitoring, alerting, SLOs, incident response, resilience patterns, cost controls, and production-readiness practices.
• Ability to set technical direction while contributing hands-on, coaching engineers, defining standards, documenting reusable patterns, and communicating platform decisions clearly.

Qualifications

• BSc, MSc, or PhD in Computer Science, Engineering, Data Science, Information Security, or a related discipline, or equivalent practical experience.
• 10+ years of experience in cloud, infrastructure, platform engineering, DevOps, or similar technical leadership roles.
• Documented experience providing hands-on technical leadership and setting engineering direction in complex technology environments.
• Expert-level knowledge of GCP infrastructure, provisioning, automation, and Infrastructure as Code, with Terraform as an essential skill.
• Strong experience with GCP services for data and AI platforms, including Vertex AI, BigQuery, Dataflow, Cloud Composer, Cloud Run, GKE, Pub/Sub, Cloud Storage, Cloud Logging, and Cloud Monitoring.
• Strong understanding of IdP integration, IAM, federation, workload identity, secrets management, and secure enterprise access patterns.
• Experience building production-grade CI/CD pipelines, observability, and operational controls for platforms.
• Ability to evaluate trade-offs between speed, cost, scalability, resilience, and compliance.
• Strong communication skills to explain platform decisions, document technical patterns, and act as a hands-on subject matter expert for GCP infrastructure and cloud AI platforms.

Application deadline

30/09/2026