Lead Integration Engineer

Nasze wymagania:
Based in Poland.
Strong skills in being transparent and available.
15+ years of experience.
Educational background in Computer Science, Software Development or Engineering.
Python / FastAPI.
Databricks / Databricks Apps / Lakebase.
REST APIs.
Microservices.
Kafka.
Event-Driven Architecture.
Kubernetes (Azure Kubernetes Service).
Terraform.
Infrastructure as Code.
Azure Platform Services.
GitHub Actions.
CI/CD Pipelines.
Distributed Systems Design.
SDLC best practices.

Mile widziane:
Highly desired: API Management.
Highly desired: Databricks Zerobus / Delta Tables / Delta Sharing.
Highly desired: Event Sourcing.
Highly desired: Apache Flink.
Highly desired: Data Mesh concepts.

O projekcie:
Help modernise how Research and Development systems exchange data and support scientific work across the organisation.
Join a central integration team and contribute to creating scalable, secure, and maintainable integration solutions that accelerate innovation across R&D. The assignment offers significant ownership and the opportunity to help drive architecture, integration patterns, engineering practices, and technology direction.

Zakres obowiązków:
Design and implement API-first architectures.
Build reusable integration capabilities.
Drive standardization of API contracts, schemas, and governance.
Lead adoption of event-based integrations using Kafka.
Define event standards and integration patterns.
Implement Infrastructure as Code using Terraform.
Build cloud-native services running on Azure Kubernetes.
Define CI/CD standards using GitHub Actions.
Improve observability, monitoring, and deployment automation.
Participate in architecture and Design reviews.
Mentor engineers and establish engineering best practices.
Drive technology modernization and technical roadmap execution.
Ensure alignment with enterprise standards, security, and compliance requirements.