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# Software Engineer - Backend - Azurion Eye

- **Company:** Koninklijke Philips N.V.
- **Location:** AMSTERDAM, Netherlands
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Automation of Tests, Clinical Data Repository, Cloud Engineering, Code Review, Continuous Integration, Extract Transform Load (ETL), Database Design, DevOps, PostgreSQL, Linux System Administration, Microsoft SQL Server, Performance Tuning, RabbitMQ, Swagger, Software Engineering, Openapi, Backend, Event Driven Architecture, Build Management, Data Lakes, Kubernetes, Information Technology, Apache Kafka, Restful APIs, Data Pipelines, Docker, Golang, Microservices
- **Published:** September 18, 2026
- **Apply:** https://philips.wd3.myworkdayjobs.com/jobs-and-careers/job/Best/Senior-Web-Back-End-Developer-Azurion-Eye_580275-2

## About the Role

* A Bachelor's or Master's degree in Computer Science/Engineering, Information Technology, or a related technical field.
 * 5+ years of end-to-end software development experience, including design, development, testing, and troubleshooting.
 * Strong backend expertise in Golang and REST API design (Swagger/OpenAPI) with focus on reliability, resilience, and observability.
 * Experience with event-driven architectures (e.g., NATS/Kafka/RabbitMQ), Linux environments, and containerized microservices (Docker/Kubernetes).
 * Solid database design and performance tuning skills (e.g., PostgreSQL/MS SQL), plus familiarity with cloud-native and DevOps practices.
 * Strong collaboration and leadership skills, with ability to mentor engineers and operate effectively in agile environments (medical/regulated experience is a plus).

## Description

* Contribute to engineering best practices; support and mentor junior engineers.
 * Design and build secure, compliant backend services and microservices supporting clinical data platforms and data movement.
 * Develop scalable data pipelines and
Build and maintain data pipelines within our data lake architecture to ensure performance, governance, and reliability.

 * Ensure system quality through code reviews, performance optimization, testing automation, CI/CD, and observability (monitoring/alerting).
 * Maintain operational excellence by integrating components and resolving production issues (e.g., ingestion failures, schema drift, performance bottlenecks)
 * Collaborate with cross-functional stakeholders (product, UX/design, QA, data/AI, and engineering teams) to define, design, and ship features aligned with clinical and platform needs.


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