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:
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Design and implement API-first architectures.
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Build reusable integration capabilities.
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Drive standardization of API contracts, schemas, and governance.
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Lead adoption of event-based integrations using Kafka.
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Implement Infrastructure as Code using Terraform.
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Define CI/CD standards using GitHub Actions.
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Participate in architecture and design reviews.
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Mentor fellow engineers and establish best practices.
Must Haves:
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10+ years of experience in software development.
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Proficiency in Python and FastAPI.
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Experience with Databricks and Data Lake architecture.
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Understanding of REST APIs and microservices architecture.
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Familiarity with event-driven architecture, particularly Kafka.
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Experience with Kubernetes and Azure services.
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Solid grasp of Infrastructure as Code (IaC) principles, particularly using Terraform.
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Expertise in CI/CD pipelines and GitHub Actions.
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Design experience in distributed systems and software development life cycle (SDLC) best practices.
Nice to Haves:
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Experience in API management and Databricks Zerobus.
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Knowledge of event sourcing and Apache Flink.
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Familiarity with data mesh concepts.
Other Details:
- Location: Warsaw (hybrid work setup).
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