The Job

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

Technology, Data & Digital · IT Infrastructure & Security · Cloud Engineering · DevOps · Data Engineering

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In short

Nordea is seeking an experienced Tech Lead to build and operate secure, automated GCP infrastructure foundations for Data Mesh and AI Platforms. This hybrid role requires hands-on engineering expertise in GCP, Terraform, CI/CD, and AI services, with a focus on secure, compliant, and cost-effective solutions for internal teams in a regulated banking environment. The position is open in Gdańsk or Gdynia (Poland), Copenhagen (Denmark), or Helsinki (Finland).

Responsibilities

  • Set engineering direction for GCP infrastructure and AI platform capabilities.
  • Be hands-on in designing, building, and validating core platform patterns.
  • Spend significant time on hands-on engineering with Terraform, CI/CD, GCP configuration, troubleshooting, and production-readiness improvements.
  • Lead by example with hands-on engineering work across GCP infrastructure, platform automation, CI/CD, provisioning, and reusable infrastructure-as-code patterns.
  • Design, mature, and operate secure GCP platform foundations, including organization and project structure, landing-zone patterns, identity provider integration, IAM, networking, observability, logging, and policy guardrails.
  • Build reusable Terraform modules and platform patterns for provisioning reliable GCP environments with clear standards.
  • Drive pragmatic adoption of GCP data and AI platform services, focusing on Vertex AI, BigQuery, Dataflow, and related services.
  • Coach engineers through hands-on collaboration, code reviews, design reviews, and practical delivery of reusable platform patterns.
  • Collaborate with product owners, data scientists, architects, cybersecurity, and governance teams.
  • Own and communicate the technical roadmap for GCP infrastructure and platform capabilities.
  • Translate technical complexity into clear recommendations, decision points, and status updates.

Requirements

  • GCP infrastructure foundations: Strong hands-on experience with GCP organization, folders and projects, landing-zone patterns, Shared VPC, Cloud NAT, firewall policies, private connectivity, and environment isolation.
  • Identity, access and security: Expert understanding of IAM design, least-privilege access, federation, workload identity, service accounts, secrets management, key management, and policy guardrails in enterprise environments.
  • Infrastructure as Code: Excellent Terraform skills, including modular design, reusable patterns, testing, versioning, state management, and promotion across environments.
  • Platform automation and CI/CD: Ability to build reliable platform pipelines for provisioning, validation, deployment, policy checks, release management, and operational lifecycle management.
  • Data and AI platform services: Practical knowledge of GCP services relevant to data and AI platforms, especially Vertex AI, BigQuery, Dataflow, Pub/Sub, Cloud Storage, Cloud Composer, and related integration patterns.
  • Observability and operations: Experience with Cloud Logging, Cloud Monitoring, alerting, SLOs, incident response, resilience patterns, cost controls, and production-readiness practices.
  • Hands-on technical leadership: Ability to set technical direction while contributing hands-on, coaching engineers, defining standards, documenting reusable patterns, and communicating complex platform decisions clearly to stakeholders.
  • A 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 and ecosystems relevant to data and AI platforms, such as 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 access patterns in enterprise environments.
  • 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, including the ability to explain platform decisions, document technical patterns, and act as a hands-on subject matter expert for GCP infrastructure and Cloud AI Platforms.

Desired Qualifications

  • Proven experience designing, building, and operating production-grade platform capabilities on Google Cloud Platform.
  • Treat infrastructure as software and be highly comfortable with Terraform, automation, CI/CD, and modern DevOps practices.
  • Expert-level knowledge of infrastructure, provisioning, identity provider integration, IAM, access control, networking, and platform security patterns.
  • Combine deep technical expertise with hands-on delivery, practical guidance, and the ability to raise engineering quality across the team.
  • Genuine interest in AI platforms, generative AI, and agentic workflows, and know how to adopt new capabilities pragmatically and safely.

Benefits

  • Full-time permanent position
  • Hybrid working arrangement (up to 40% remote work possible)
  • Opportunity to shape, build, and operate secure, automated, and reusable GCP foundations.
  • Join a small, agile, and highly technical team with a mandate to drive impact.
  • Build the next generation of cloud-native data and AI platform capabilities.
  • Ensure security, compliance, reliability, and developer experience are built in from the start.
#Tech Lead#Google Cloud Platform#Data Mesh#AI Platforms#Infrastructure#GCP#Platform Engineering#DevOps#Automation#Terraform#CI/CD#IAM#Vertex AI#BigQuery#Dataflow#AI
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Company

Nordea

Job Posted

3 weeks ago

Expires

in 1 week

Employment Type

Full Time

WorkMode

Hybrid

Experience Level

Senior

Locations

Gdańsk, Poland

Taastrup, Denmark

Gdynia, Poland

Helsinki, Finland

Qualification

Bachelor, Master, Doctoral

Applicants

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