Check out our offer and find out whether it suits you.
Programista Python/Java
You will be part of an ambitious and highly motivated team which is building and delivering a market-leading annotation product. As a team member you are responsible for the stability and scalability of web-based annotation tooling for Autonomous Driving. You will mainly focus on building the underlying cloud services but also help to improve the web application. You engage with task & workflow orchestration systems, annotation web application, user management & IAM and many more aspects of highly scalable services in automotive area.
Your responsibilities
- You build products and feat
- You build products and features in a microservice architecture with a strong focus on scalability, decoupling and robustness within an experienced team
- You optimize services for performance and scalability
- You write clean, maintainable, and well tested code and participate in code reviews
- You interact with Site Reliability Engineers & extend metrics sent out by our services
- You build applications and improve existing services, that make management of our annotation projects more efficient
- Tech stack in use - Python, TypeScript, Node.js, Express/Next.js, MongoDB, PostgreSQL, Docker, Kubernetes, Google Cloud Plattform
Our requirements
- You have an university degree in Computer Science (or similar) or a track record of successfully completed projects
- You have experience with one or more of the technologies listed
- You are familiar with agile software development
- You have solid software engineering skills or want to build those
- You have a strong eye for finding performance impediments and knowledge to solve them
- You have passion for building large-scalable backend services and writing great code for them
- You raise concerns over code quality or lacking test cases and fix problems once you see them
- You enjoy working in a team and actively communicating with your colleagues
- You have good English communication skills, both written and verbal






