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Python Integration Engineer – Azure / Kubernetes / Argo

emagine PolskaPolskaPolska

Źródło:JustJoin.it
Rodzaj zatrudnienia
Rodzaj zatrudnieniaPełny etat
Doświadczenie
DoświadczenieSenior
Dodano
Dodano24 sierpnia 2026
Wykryte przez nas
Wykryte przez nas25 sierpnia 2026
Zarobki
Zarobki27 720 - 31 080 PLN

emagine Polska is looking for a skilled Python Integration Engineer to join their Data Integration Team. You will work in a fully remote environment, focusing on building scalable, cloud-native integration services within the Azure ecosystem using modern DevOps practices.

Key responsibilities

  • Develop and containerize integration services using Python to connect various systems across the enterprise ecosystem.
  • Design, build, and maintain workflow-orchestrated integrations using Argo Workflows to ensure reliable data and process flows.
  • Write comprehensive unit, integration, and end-to-end tests to maintain high code quality and system reliability.
  • Collaborate with business stakeholders to translate complex integration requirements into scalable technical solutions.
  • Provide expert consulting on integration patterns, architecture options, and workflow orchestration best practices.

Requirements

  • Strong proficiency in Python programming, specifically for integration services and workflow development.
  • Practical experience with Kubernetes and containerized, cloud-native architectures.
  • Solid background in Azure Cloud, particularly with integration and messaging workloads.
  • Experience with workflow orchestration systems such as Argo Workflows, Temporal, or Airflow.
  • Familiarity with DevOps practices, including CI/CD, infrastructure-as-code, monitoring, and GitOps.
  • Excellent communication skills and a consultative mindset for working with diverse stakeholders.

What we offer

  • Opportunity to work in a modern DevOps environment emphasizing continuous delivery and automation.
  • Full ownership of the design, build, and run phases of your projects.
  • Engagement in a cloud-native architecture leveraging Kubernetes and serverless components.
  • Collaborative team culture focused on continuous improvement and technical excellence.

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