Integration Engineer Python

• B2B up to 185 zł/h

• Start ASAP/to determinate

• 100% remote

Main Responsibilities:

• 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 improvement.

• Actively contribute as a team player within an international, agile setting.

Key Requirements:

• 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. 

Nice to Have:

• Ability to communicate technical topics clearly to various stakeholders.

• A consultative mindset and team-player attitude.

Other Details:

• Category 1: Environment - Operates under DevOps principles in Azure Cloud.

• Category 2: Team Structure - Works in an international agile Scrum environment.