(Senior) Product Engineer (Backend)

Accountabilities • Build and maintain reliable, scalable backend services and product features using Kotlin or Java and modern web frameworks.

• Take ownership of features from initial user problem discovery through development, rollout, and evaluation of their impact.

• Work closely with product managers, designers, and engineers to translate ideas and user needs into high-quality shipped experiences.

• Contribute beyond the backend when needed, including web, mobile, infrastructure, and other parts of the product stack.

• Use AI coding assistants to navigate unfamiliar codebases, accelerate development, prototype solutions, and deliver well-structured changes outside your primary specialization.

• Explore user problems through prototypes, instrumentation, experimentation, and collaboration with product or customer-facing teams.

• Help evolve engineering practices toward more end-to-end, product-minded ownership and AI-enabled development.

• Contribute to reliable deployment and infrastructure practices, with opportunities to work with Kubernetes, Helm, messaging systems, and related technologies.

Requirements:

• Professional experience in backend software engineering, with a strong foundation in Kotlin or Java and experience with frameworks such as Micronaut or Spring.

• Experience developing SaaS products, ideally within an Agile and cross-functional product environment.

• A backend specialization combined with a willingness and ability to contribute to frontend, mobile, infrastructure, or other areas when required.

• Familiarity with AI-powered coding tools such as Cursor, Claude Code, GitHub Copilot, or similar tools, or a strong willingness to incorporate them into your workflow.

• Strong product mindset and ownership mentality, with a focus on understanding user problems and delivering measurable outcomes rather than simply completing technical tickets.

• Ability to work effectively with product managers, designers, engineers, and other stakeholders.

• Strong curiosity, adaptability, engineering judgment, and willingness to learn new technologies and ways of working.

• Experience working with designers, mockups, or prototypes is a plus.

• Experience with instrumentation, experimentation, A/B testing, Grafana, or Mixpanel is a plus.

• Knowledge of Kubernetes and Helm is a plus.

• Experience with PostgreSQL and messaging systems such as RabbitMQ or Apache Kafka is a plus.

• Candidates at different experience levels are welcome, including engineers early in their careers who have gained relevant experience alongside their studies.

Benefits:

• Remote-first working model with flexibility to work from home.

• Opportunities for occasional in-person collaboration through team events, workshops, and meetings in Berlin or Stuttgart, with advance notice.

• Flexibility to work remotely from other locations within the European Union.

• E-Gym-Wellpass membership covered by the employer.

• Job bike leasing.

• Relaxed, collaborative environment with highly motivated and committed colleagues.

• Strong opportunity to shape products and contribute directly to the growth of a young technology organization.

• Regular team events and culture days focused on collaboration and connection.

• Supportive environment with tools, practices, and colleagues that encourage continuous technical and product development.

• Opportunity to deepen backend expertise while growing into a product-minded, AI-enabled engineering role.

How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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