GCP Cloud engineer

Huxley Associates
Amstelveen, Netherlands
14 days ago
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Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
3 years minimum
Working hours
Regular working hours
Languages
English
Job source

Tech stack

Artificial Intelligence Bash Shell BigQuery Cloud Engineering Code Review Continuous Integration Linux DevOps Github Identity and Access Management Java Virtual Machine (JVM) Google Cloud
+13 more
Cloud Platform System GitHub Copilot Apache Spark Build Management Data Analytics Data Management Text Summarization Terraform Code Restructuring Data Pipelines Dynatrace Serverless Computing Docker

Job description

For a client active within aviation, We are looking for a hands-on Senior (8+ years) Cloud Engineer to spearhead the modernization ofa digital services Hub. Our current infrastructure was migrated to the cloud but still relies heavily on legacy on-premise patterns. Initially, the contract will be for 6 months with an option to extend.

  • Your mission is to refactor this environment into a modern, cost-efficient, and deeply observable serverless platform on GCP. You will be at the intersection of Data Analytics, Platform Engineering, and DevOps.
  • By improving development experience and improving pipeline health and stability, you will eliminate operational friction so our business can effortlessly onboard new data sources and trust the data they consume.
  • Responsibilities
  • Pave a “Golden Path” for CI/CD using GitHub Workflows, abstracting GCP complexity so data engineers can build and deploy without fighting the infrastructure.
  • Audit, optimize, and maintain the existing Terraform codebase using reusable and modular components that enforce monitoring.
  • Migrate from a fragmented, custom-scripted alerting to a unified Dynatrace implementation.
  • Take the team along explaining the “why” behind design choices, openly review them with the team, and pragmatically adapt your designs to align with organizational constraints and feedback.
  • Optimize our existing cloud footprint by reducing spending and implementing cost-governance, ensuring that our newly observable pipelines are also financially efficient.
  • Champion the use of AI assisted development with GitHub Copilot.

Requirements

  • 8+ years of overall experience building, scaling, and maintaining complex systems.
  • 4+ years of experience building Data Platforms or complex Cloud architectures (GCP strongly preferred).
  • 3+ years of deep, hands-on experience setting up enterprise monitoring-specifically Dynatrace-to track data pipeline health, data quality, workload and infrastructure performance.
  • 3+ years of writing, refactoring, and managing stateful deployments with Terraform in production. * Expert in creating GitHub Actions and Workflows.
  • Deep expertise in GCP (BigQuery, GCS, IAM, Cloud Run, Networking) along with Linux, Docker, and Bash scripting.
  • Certifications in Google Cloud Platform are nice to have.
  • Experience managing JVM applications (ideally Spark).

Process & Mindset

  • Team player with experience driving technical decisions and mentoring mid-level engineers.
  • Know when to reach out to other teams for help/consultation.
  • Maintain high coding standards, be proactive at code reviews, ensuring future-proof quality.
  • End to end ownership and support of created solutions.
  • Excellent communication skills (spoken and written English)

Apply for this position

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