Tech Lead – GCP Cloud Infrastructure & AI Platforms (M/K)

Experis to światowy lider rekrutacji specjalistów i kadry zarządzającej w kluczowych obszarach IT.

GCP Infrastructure Foundations:

• Hands-on experience with GCP organization structures, folders/projects, landing zone architectures, Shared VPC, Cloud NAT, firewall policies, private connectivity, 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, environment promotion

Platform Automation & CI/CD:

• Experience building reliable platform pipelines for provisioning, validation, deployment, policy enforcement, release management, operational lifecycle

Data & AI Platform Services:

• Practical knowledge of GCP services supporting data and AI platforms, especially Vertex AI, BigQuery, Dataflow, Pub/Sub, Cloud Storage, Cloud Composer

Observability & Operations:

• Experience with Cloud Logging, Cloud Monitoring, alerting, SLOs, incident management, resilience engineering, cost optimization, production-readiness best practices

Hands-on Technical Leadership:

• Ability to define technical direction while actively engineering, mentoring, establishing standards, documenting reusable solutions, and clearly communicating complex platform decisions

• Set the engineering direction for GCP infrastructure and AI platform capabilities
• Spend significant time on hands-on engineering including Terraform, CI/CD, GCP configuration, troubleshooting, and production readiness
• Lead by example through hands-on engineering across GCP infrastructure, platform automation, CI/CD, provisioning, and Infrastructure as Code patterns
• Design, enhance, and operate secure GCP platform foundations including organization/project structures, landing zone patterns, identity provider integration, IAM, networking, observability, logging, and policy guardrails
• Build reusable Terraform modules and platform patterns for reliable GCP environment provisioning
• Drive adoption of GCP data and AI platform services, focusing on Vertex AI, BigQuery, Dataflow
• Coach engineers via collaboration, code reviews, design reviews, and delivery of reusable platform solutions
• Collaborate with Product Owners, Data Scientists, Architects, Cybersecurity, and Governance teams to align technical and business priorities
• Own and communicate the technical roadmap balancing scalability, cost, compliance, reliability, and delivery speed
• Translate technical complexity into clear recommendations and status updates for technical and non-technical stakeholders