Software Engineer (Java) - (m/f/d)
Heidelberg
Engineering /
Full-time /
Hybrid
What your work will look like:
- Design, build, test, and operate cloud-based microservices (Java/Spring Boot, Kafka)
- Write automated tests (unit, integration, and end-to-end) as an integral part of your daily work
- Contribute to product design by writing technical specifications – clear enough to
guide both engineers and AI agents
- Use AI-assisted development (coding agents, AI code review, spec-driven workflows)
in your daily work and help us evolve how we use it
- Work with the Unzer Tech standards and processes and help us improve them
- Be actively involved in team and organizational knowledge-sharing
- Write automated tests (unit, integration, and end-to-end) as an integral part of your daily work
- Contribute to product design by writing technical specifications – clear enough to
guide both engineers and AI agents
- Use AI-assisted development (coding agents, AI code review, spec-driven workflows)
in your daily work and help us evolve how we use it
- Work with the Unzer Tech standards and processes and help us improve them
- Be actively involved in team and organizational knowledge-sharing
What you need to be successful in this role:
- 5+ years of experience with Java 21+ and Spring Boot
- Solid knowledge of data structures, algorithms, operating systems and distributed systems
- Experience with SQL databases (schema design, migrations); NoSQL is a plus
- Experience with microservices, event-driven messaging (Kafka, Avro) and
Git-based workflows (feature branches, pull requests, code review)
- You diligently test (ideally test-first/TDD) and document your deliveries
- Experience in architecture design (e.g. Domain-Driven Design) and common design patterns
- Experience with observability tools such as Coralogix or OpenTelemetry
- Hands-on experience with AI coding assistants/agents (e.g. Claude Code, GitHub Copilot):
you use them productively and critically review, test and own the code they produce
- Hands-on mentality
Nice to have:
- Frontend experience with Angular
- Know-how in delivering software to the AWS cloud platform
- Experience with Docker, Kubernetes and GitOps (e.g. Argo CD)
- Experience building agentic workflows (MCP integrations, custom agent skills,
AI steps in CI such as automated PR review)
- Experience in regulated environments (payments, PCI-DSS, GDPR)
- Solid knowledge of data structures, algorithms, operating systems and distributed systems
- Experience with SQL databases (schema design, migrations); NoSQL is a plus
- Experience with microservices, event-driven messaging (Kafka, Avro) and
Git-based workflows (feature branches, pull requests, code review)
- You diligently test (ideally test-first/TDD) and document your deliveries
- Experience in architecture design (e.g. Domain-Driven Design) and common design patterns
- Experience with observability tools such as Coralogix or OpenTelemetry
- Hands-on experience with AI coding assistants/agents (e.g. Claude Code, GitHub Copilot):
you use them productively and critically review, test and own the code they produce
- Hands-on mentality
Nice to have:
- Frontend experience with Angular
- Know-how in delivering software to the AWS cloud platform
- Experience with Docker, Kubernetes and GitOps (e.g. Argo CD)
- Experience building agentic workflows (MCP integrations, custom agent skills,
AI steps in CI such as automated PR review)
- Experience in regulated environments (payments, PCI-DSS, GDPR)
What’s next?
- Does it sound exciting? - Apply with your CV in English. Please don’t shy away if you don’t meet all the requirements! We’re looking forward to meeting you.
- We will get back to you within 7 days of receiving your application.
- The interview process includes a 30-minute intro call with a TA Partner, a 45-minute conversation with the Hiring Manager, and a technical interview with the team (60- 90 mins). Please note the process might alter depending on our team’s availability.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
You can also find our applicant privacy information here: https://shorturl.at/Zwhtv
