GCP Data Platform Engineer

20.2k - 30.2k PLN20 200 - 30 200 PLN/ mies./ mies.B2BB2B (netto)

MidZdalnie·WrocławFull-time·B2B

#471087·Dodano 6 dni temu·2

Źródło: SOLID.Jobs

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Tech Stack / Keywords

CI/CD Docker Kubernetes Git Python DevOpsApplication lifecycle managementZarządzanie artefaktamiKomunikacjaDokumentacja projektowa

Podsumowanie oferty

You will design, implement, and maintain CI/CD pipelines and deployment automation for software delivery, including workflows involving Docker and Kubernetes. The role also covers repository standardization, artifact management, and migrating Python repositories to UV.

Wymagania

2 years of experience in a similar position
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

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

Benefity

Flexible working hours

Elastyczne godziny

Xebia sp. z o.o.

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