Python Integration Engineer – Azure / Kubernetes / Argo
W skrócie
Python Integration Engineer role in insurance. Develop/deploy Python integration services in Azure Cloud using Kubernetes, Argo Workflows. Remote. Requires Python, Kubernetes, Azure Cloud, workflow orchestration, and DevOps.
Słowa kluczowe
Skrót przygotowany przez AI na podstawie treści ogłoszenia.
Industry: Insurance
Location: 100% remote work
Rate: up to 185 pln/h net on b2b
About the Role
Join the Data Integration Team driven by DevOps principles of continuous delivery, automation, and true ownership: you design it, you build it, you run it. We operate fully in the Azure Cloud with a modern, cloud-native architecture leveraging Kubernetes (AKS), serverless components, and real-time as well as batch-driven integration patterns.
What You Will Do
- Develop integration services in Python to connect various systems across the ecosystem and containerize them.
- Design, build, and maintain workflow-orchestrated integrations using orchestration frameworks - Argo Workflows, ensuring scalable, observable, and reliable data and process flows.
- Write unit/integration/e2e tests to ensure code quality and reliability.
- Collaborate closely with clients and business stakeholders to gather, analyze, and translate integration requirements into scalable technical solutions.
- Communicate complex technical concepts clearly and effectively to both technical and non-technical stakeholders.
- Provide consulting advice on integration patterns, workflow orchestration, best practices, and architecture options.
- Work hands-on in a modern DevOps environment emphasizing infrastructure-as-code, CI/CD pipelines, automated deployments, monitoring, and continuous improvements.
Required Skills & Experience
- Strong proficiency in Python programming, especially for creating integration services and workflow development.
- Practical experience with Kubernetes (AKS preferred) and containerized, cloud-native architectures.
- Solid background in Azure Cloud, especially in integration and messaging workloads.
- Experience with workflow orchestration systems (e.g., Argo Workflows, Temporal, Airflow) and DAG-based integration patterns.
- Familiarity with DevOps practices and toolchains including CI/CD, infrastructure-as-code, monitoring, and GitOps.
- Excellent communication skills with the ability to clearly explain technical topics at different organizational levels.
- A consultative mindset combined with a collaborative, team-player attitude.
| Opublikowana | 2026-10-28 |
| Źródło |
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