Xebia sp. z o.o.

GCP Data Platform Engineer

~120 - 180 PLN/ godz./ godz.B2BB2B (netto)

SeniorZdalnie·WrocławInne·B2B

#463736·Dodano 14 dni temu·3

Źródło: justjoin.it

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Tech Stack / Keywords

CI/CD Kubernetes Docker Google Cloud Platform ApacheDBTBigQuery Google Cloud Git Python

Podsumowanie oferty

Design and maintain CI/CD pipelines, deployment automation, and delivery processes as part of platform engineering work. The role includes supporting Docker image workflows and Kubernetes runtime environments, as well as migrating Python repositories to UV.

Wymagania

Your profile:

Strong commercial experience in DevOps, Platform Engineering, or Cloud Engineering roles.
Experience designing and maintaining CI/CD pipelines.
Experience building reusable CI/CD templates and automation frameworks.
Strong understanding of Git-based development workflows.
Hands-on experience with Docker.
Experience supporting Kubernetes environments.
Experience automating build, release, and deployment processes.
Experience managing software artifacts and release assets.
Experience with Python packaging and dependency management.
Understanding of infrastructure and application lifecycle management.
Strong communication and documentation skills.

Nice to have:

Experience with UV and migrating repositories from Poetry or setuptools to UV.
Familiarity with Google Cloud Platform and Google Cloud Storage.
Familiarity with Apache Airflow, dbt, Dataproc, or BigQuery.
Experience supporting enterprise-scale data platforms.
Experience implementing software delivery governance standards.
Experience in banking, financial services, or other regulated industries.

Obowiązki

You will:

Design, implement, and maintain CI/CD pipelines.
Standardize repositories using shared CI/CD templates and reusable delivery components.
Develop and maintain deployment automation processes.
Design and implement artifact storage and distribution mechanisms.
Improve release management and software delivery processes.
Support Docker image management and deployment workflows.
Support Kubernetes-based runtime environments.
Automate manual platform engineering activities.
Migrate Python repositories from Poetry or setuptools to UV.
Support governance, traceability, and repeatability of software delivery.
Collaborate with engineering teams to implement DevOps best practices.
Prepare and maintain technical documentation.

Inne informacje

Recruitment process: CV review, HR call, interview, client interview, and decision.

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