For our client, we are looking for an experienced Tech Lead – GCP Cloud Infrastructure & AI Platforms (M/F).
Key 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
- Spend a significant part of your time on hands‑on engineering, including Terraform, CI/CD, GCP configuration, troubleshooting, and production readiness improvements
- Lead by example through hands‑on engineering work across GCP infrastructure, platform automation, CI/CD, provisioning, and reusable Infrastructure as Code patterns
- Design, enhance, and operate secure GCP platform foundations, including organization and project structures, landing zone patterns, identity provider integration, IAM, networking, observability, logging, and policy guardrails
- Build reusable Terraform modules and platform patterns that enable teams to provision reliable GCP environments with clear standards for access, networking, secrets, monitoring, cost, and lifecycle management
- Drive the adoption of GCP data and AI platform services, with a focus on Vertex AI, BigQuery, Dataflow, and related services, ensuring they can be used securely in a banking‑grade environment
- Coach engineers through hands‑on collaboration, code reviews, design reviews, and the delivery of reusable platform solutions
- Collaborate with Product Owners, Data Scientists, Architects, Cybersecurity, and Governance teams to align technical decisions with business priorities and regulatory requirements
- Own and communicate the technical roadmap for GCP infrastructure and platform capabilities, balancing scalability, cost, compliance, reliability, and delivery speed
- Translate technical complexity into clear recommendations, decision points, and status updates for both technical and non‑technical stakeholders
GCP Infrastructure Foundations:
- Strong hands‑on experience with GCP organization structures, folders and projects, landing zone architectures, Shared VPC, Cloud NAT, firewall policies, private connectivity, and environment isolation
Identity, Access & Security:
- Expert knowledge of IAM design, least‑privilege access, federation, workload identity, service accounts, secrets management, key management, and security guardrails in enterprise environments
Infrastructure as Code (IaC):
- Advanced Terraform expertise, including modular architecture, reusable components, testing, versioning, state management, and promotion across environments
Platform Automation & CI/CD:
- Experience building reliable platform pipelines for provisioning, validation, deployment, policy enforcement, release management, and operational lifecycle processes
Data & AI Platform Services:
- Practical knowledge of GCP services supporting data and AI platforms, particularly Vertex AI, BigQuery, Dataflow, Pub/Sub, Cloud Storage, Cloud Composer, and related integration patterns
Observability & Operations:
- Experience with Cloud Logging, Cloud Monitoring, alerting, SLOs, incident management, resilience engineering, cost optimization, and production‑readiness best practices
Hands‑on Technical Leadership:
- Ability to define technical direction while remaining actively involved in engineering work, mentoring teams, establishing standards, documenting reusable solutions, and communicating complex platform decisions effectively
Offer:
- Location: Gdańsk/Gdynia (3 days per week in the office)
- Employment contract
- Comprehensive benefits package (sports card, private medical care, and more)
- Company Social Benefits Fund
The offer applies to permanent work.