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

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C-Level / ManagerHybryda·GdańskFull-time·Umowa o pracę

#462197·Dodano 4 dni temu·0

Źródło: justjoin.it

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Tech Stack / Keywords

Google Cloud PlatformIaCTerraformAICI/CD

Podsumowanie oferty

Lead the Data Mesh and AI Platforms team in building and operating secure, reusable infrastructure and platform capabilities on Google Cloud Platform (GCP). Set technical direction and contribute hands-on to Terraform, automation, and CI/CD for data and AI platforms in a regulated banking environment.

Wymagania

GCP infrastructure: Hands-on experience with GCP organizations, 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, and Cloud Composer.
Observability and operations: Experience with Cloud Logging, Cloud Monitoring, alerting, SLOs, incident response, resilience patterns, cost controls, and production-readiness practices.
Technical leadership: Ability to set technical direction while contributing hands-on, coaching engineers, defining standards, documenting reusable patterns, and clearly communicating platform decisions.
Education: A BSc, MSc, or PhD in Computer Science, Engineering, Data Science, Information Security, or a related discipline, or equivalent practical experience.
Experience: 10+ years in cloud, infrastructure, platform engineering, DevOps, or similar technical leadership roles, including documented 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 identity provider 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 explaining platform decisions, documenting technical patterns, and acting as a hands-on subject matter expert for GCP infrastructure and Cloud AI Platforms.

Obowiązki

Set engineering direction for GCP infrastructure and AI platform capabilities, while designing, building, and validating core platform patterns.
Work hands-on with Terraform, CI/CD, GCP configuration, troubleshooting, and production-readiness improvements.
Lead hands-on engineering across GCP infrastructure, platform automation, provisioning, and reusable Infrastructure as Code patterns.
Design, mature, and operate secure GCP foundations, including organization and project structures, landing zones, identity provider integration, IAM, networking, observability, logging, and policy guardrails.
Build reusable Terraform modules and platform patterns for reliable GCP environments, covering access, networking, secrets, monitoring, cost, and lifecycle management.
Drive adoption of GCP data and AI platform services, including Vertex AI, BigQuery, and Dataflow, for safe use in a banking environment.
Coach engineers through 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.
Explain technical complexity through recommendations, decision points, and status updates for technical and non-technical stakeholders.

Inne informacje

Hiring locations are Gdańsk or Gdynia, Poland, or Helsinki, Finland.
Candidates in Finland selected for the position will undergo a security clearance.

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