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  • GCP Platform Engineer
    DevOps

    GCP Platform Engineer

    Toruń
    Type of work
    Full-time
    Experience
    Mid
    Employment Type
    B2B
    Operating mode
    Remote

    Tech stack

      Google Cloud Platform

      regular

      Terraform

      regular

      DevOps

      regular

      BigQuery

      regular

      Google Kubernetes Engine

      regular

      Linux

      regular

      Python

      regular

    Job description

    The Platform and Infrastructure Engineer is crucial in managing and enhancing cloud-based platforms, blending system administration, programming expertise, and a deep understanding of cloud services. This role encourages creative problem-solving and effective communication, as you’ll often need to articulate complex technical ideas in design discussions, making you a strong collaborator across teams.


    Your role

    • Design, build, and maintain scalable cloud platforms, supporting multiple tenants.
    • Manage and maintain components of data analytics platforms.
    • Lead architecture development initiatives and conduct experimental proof of concepts.
    • Develop cloud-native solutions using Infrastructure as Code (IaC) approaches.
    • Oversee platform observability, ensuring comprehensive monitoring and alerting systems are in place.


    Offer

    • Long-term freelance contracts
    • Solid market rates depending on experience
    • Access to top-notch projects


    Requirements

    • GCP Expertise: hands-on experience with Google Cloud Platform (GCP), including building platforms within GCP environments.
    • Infrastructure as Code (IaC): Proficiency in Terraform, coupled with experience using Azure DevOps for CI/CD pipeline automation.
    • Cloud Analytics: Familiarity with GCP’s public cloud analytics services, such as BigQuery, Dataproc, and related offerings.
    • Managed GCP Services: Hands-on experience with services like Cloud Run, GKE (Google Kubernetes Engine), Vertex AI, etc.
    • Observability Tools: Strong experience with monitoring, logging, and alerting systems to ensure platform stability.
    • Kubernetes Management: Extensive knowledge of deploying and managing Kubernetes applications, especially within GCP.
    • System Administration: Proficiency in Linux system administration and Bash scripting.
    • Programming: Strong programming skills, with a preference for Python and Golang.
    • Security: Expertise in secure authentication methods and encrypted workloads (OIDC, KMS, SSL/TLS, etc.).


    Nice to have:

    • Large-Scale Systems: Experience building large-scale, secure cloud applications.
    • Open-Source Contributions: Participation in open-source projects is a plus.
    • Distributed Systems: Knowledge of distributed cloud computing and storage within GCP.
    • Kubernetes Optimization: Experience with optimizing Kubernetes clusters, particularly within GKE.
    • Automation-First Mindset: A commitment to automating processes wherever possible for increased efficiency and scalability.

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