Lead Integration Engineer

The Lead Integration Engineer will play a crucial role in modernizing the data exchange within Research and Development systems. This role focuses on integrating and building scalable, maintainable solutions to support scientific work.

Responsibilities

• 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.
• Implement Infrastructure as Code using Terraform.
• Define CI/CD standards using GitHub Actions.
• Participate in architecture and design reviews.
• Mentor fellow engineers and establish best practices.

Must Haves

• 10+ years of experience in software development.
• Proficiency in Python and FastAPI.
• Experience with Databricks and Data Lake architecture.
• Understanding of REST APIs and microservices architecture.
• Familiarity with event-driven architecture, particularly Kafka.
• Experience with Kubernetes and Azure services.
• Solid grasp of Infrastructure as Code (IaC) principles, particularly using Terraform.
• Expertise in CI/CD pipelines and GitHub Actions.
• Design experience in distributed systems and software development life cycle (SDLC) best practices.

Nice to Haves

• Experience in API management and Databricks Zerobus.
• Knowledge of event sourcing and Apache Flink.
• Familiarity with data mesh concepts.

Other Details

• Location: Warsaw (hybrid work setup).