GCP Platform Engineer APDP Senior Role @

2 days ago

Remote, Czech Republic Link Group Full time
  • 5+ years of hands-on experience with GCP and public cloud infrastructure.
  • Strong IaC background (Terraform), preferably with Azure DevOps pipelines.
  • Experience with managed GCP services: Cloud Run, BigQuery, Dataproc, Vertex AI, GKE.
  • Knowledge of monitoring and observability practices.
  • Hands-on with Kubernetes, Bash, and Linux system administration.
  • Solid programming skills – preferably in Python and/or Golang.
  • Understanding of security protocols (OIDC, KMS, TLS, client/server authentication).

Nice to Have:

  • Background in large-scale distributed platforms and secure app design.
  • Familiarity with data ingestion and disaster recovery strategies.
  • Open-source contributions or DevOps community involvement.
  • Experience in Financial Markets is a plus, but not required.
Soft Skills Matter:

You'll be working with strong personalities and senior stakeholders, so we value:

  • Clear, proactive communication.
  • Ownership mindset and independence.
  • Strong backlog management and prioritization skills.

We are looking for a Senior Platform & Infrastructure Engineer to join a fast-paced and impactful project in the Financial Markets domain. The focus is on building and evolving a robust Data Analytics Platform in Google Cloud Platform (GCP), which serves as the foundation for analytics, ML/AI, and risk assessment solutions across the organization.

In this role, you will work on platform engineering, infrastructure as code, and cloud-native components, collaborating closely with diverse teams and strong stakeholders. We're looking for someone who is technically skilled, highly independent, and proactive in communication.

,[Build, maintain and evolve a data analytics platform on GCP., Support internal tenants and services running on the platform., Design and experiment with platform architecture improvements., Deliver cloud-ready, Infrastructure-as-Code-based solutions., Manage monitoring, logging, observability and alerting systems., Deploy and manage Kubernetes applications (GKE)., Collaborate on platform documentation, design and implementation decisions.] Requirements: GCP, IaC, Terraform, Azure DevOps, Cloud Run, BigQuery, Dataproc, Vertex AI, GKE, Kubernetes, Bash, Linux, Golang, OIDC, KMS, TLS, Communication skills, Backlog management, large-scale distributed platforms, secure app design, Data ingestion, Data recovery, Financial Markets Tools: Agile, Scrum.

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