Cloud & Embedded Software Engineer (Java/Spring)

HMS Networks; Delft; On-site; EUR 65,000 - 90,000; Full time

Job summary

HMS Networks in Delft, The Netherlands, seeks a Software Engineer to contribute across embedded diagnostics and cloud-connected solutions. You will engage in full software lifecycle from requirements through testing and maintenance.

You will build embedded software and cloud services using Java, Spring, and Angular, implement tests, and collaborate with global teams to deliver robust features. AI-driven process improvements are encouraged.

Qualifications

• Bachelor or Master in CS/SE/ Electronics or equivalent.
• Several years of software development experience.
• Strong Java with Spring framework experience.
• Knowledge of design, testing and debugging.
• Experience with Git/GitLab and cloud infra basics.
• Proficiency in networking concepts and distributed systems.

Responsibilities

• Design, develop, and maintain embedded software for diagnostics products.
• Develop cloud-based apps and services on the Ewon Cloud platform using Java/Spring/Angular.
• Write unit, integration and E2E tests to ensure quality.
• Collaborate with product owners and engineers to deliver features.
• Participate in code reviews and improve software architecture.
• Troubleshoot and resolve issues across embedded and cloud systems.
• Explore AI-driven improvements in development processes.

Skills

Java

Spring

Angular

Git

Linux

C++

REST APIs

Cloud

Testing

AI basics

Education

Bachelor's or Master's in CS/SE/ Electronics

Tools

AWS

Docker

Kubernetes

GitLab

Robot

JUnit

Mockito

Jasmine

Karma

Jest

Job description

HMS Networks in Delft, The Netherlands, seeks a Software Engineer to contribute across embedded diagnostics and cloud-connected solutions. You will engage in full software lifecycle from requirements through testing and maintenance.

You will build embedded software and cloud services using Java, Spring, and Angular, implement tests, and collaborate with global teams to deliver robust features. AI-driven process improvements are encouraged.