Backend: Our core backend services are primarily written in Python. Depending on use case and performance needs, we also use Go and TypeScript. Frontend: We build single-page applications using Vue.js for configuration and analytics UIs. For high-performance visualizations, we leverage WebGL-based frameworks. Infrastructure & DevOps: Our systems are deployed using containerized, Docker-based workflows in a distributed microservice environment. Developer Enablement: We actively use AI-powered coding assistants and automated code review tools to accelerate development, prototyping, refactoring, and quality assurance., As a Full Stack Engineer, you will take ownership of developing and evolving software components used by both internal teams and external customers. Your responsibilities include:

• Designing and developing backend services, APIs, and frontend components within the KINEXON Industries ecosystem
• Building monitoring, configuration, and control services for real-time systems
• Working with microservice architectures, real-time networking, parallel processing, and distributed systems
• Improving existing components and designing new ones, enhancing their logic, performance, and scalability
• Designing, implementing, and maintaining comprehensive automated tests and integrating them into CI/CD pipelines
• Continuously improving testing strategies, test environments, and overall code quality
• Leveraging AI-assisted development tools to improve development speed, code quality, and review processes

• Strong programming skills in Python, including asynchronous programming; experience with Go is highly valued
• Experience developing frontend applications using modern SPA frameworks, preferably Vue.js
• Solid understanding of software architecture, design patterns, and distributed systems
• Experience with databases, SQL, and ORMs
• Hands-on experience with test automation and a strong ownership mindset for maintainable testing frameworks
• Hands-on experience with modern AI-assisted development tools (e.g., Claude Code, Cursor, Copilot, code generation frameworks), combined with a proactive mindset to explore, adopt, and refine new AI-driven workflows and engineering practices
• University degree in Computer Science or a related field, or equivalent practical experience

Nice to have

• Experience with message brokers and distributed event-driven architectures (e.g., Kafka)
• Domain knowledge in AGV/AMR management or fleet/asset tracking systems

Personal qualities

• A collaborative and reliable team player who takes ownership and responsibility
• A strong quality mindset and the ability to share knowledge in an agile, proactive engineering environment

At KINEXON, you will meet people with a similar mindset who are passionate about innovative technologies and love to master new challenges in a team, as well as create great products.

Become part of our team and enjoy the following benefits:

• Freetime 30 days (DE) / 20 days (US) paid vacation to refuel your energy (for full-time employees)

• WeCare - take your time off for the family (parental leave etc.)

• WorkingHours - Early bird or night owl - you can choose your flexible work hours.

• FlexibleLocation - we work with a hybrid and remote model.

• OneTeam - We enjoy spending time together at regular team and company events.

• OnTop - further benefits selected by you annually out of a range of benefits that we offer (mobility, sports, vacation budget, training budget and more)

If you want to find out more about our benefits, you can look here and with a visit to Instagram wearekinexon you can get a look behind the scenes.

KINEXON is a leader in Physical AI for Manufacturing & Sports, turning real-time location and motion data into actionable intelligence and automation. Our AI and IoT-driven platform supports a wide range of applications, from automated logistics and safety solutions in factories to live player tracking and performance analytics in sports. In sports, 80% of NBA teams rely on KINEXON technology, alongside FIFA and top European football teams and leagues. In manufacturing and logistics, we partner with blue chip companies including BMW, Siemens, Airbus, Continental, and MTU to drive measurable efficiency gains. Founded as a TU Munich spin-off, we are a team of ~250 people headquartered in Munich with a US office in Chicago - and we’re hiring ambitious talent ready to shape the future of physical AI.