ABOUT SOURCE.AG: THE MISSION

At Source.ag, we are on a mission to empower the world’s growers with AI to sustainably feed a growing global population. The world’s leading growers use our SaaS products to optimize their operations, improve yields, and increase resource efficiency. We don’t just sell software; we build deep partnerships with our customers to solve some of the most fundamental challenges in the global food supply chain.
This is not a typical software problem. We are modeling the complex, biological reality of a high-tech greenhouse and translating it into actionable intelligence. If you are excited by the challenge of using technology to solve real-world problems at a global scale, this is the place for you.

YOUR EXPERIENCE:

• Proven relevant work experience in building, deploying, and operating backend services in a production environment (typically 4+ years).
• Strong proficiency in Golang and/or Python.
• Hands-on experience with Docker and a deep appreciation for clean, reproducible development environments.
• Experience with relational databases (like PostgreSQL) and an understanding of how to model data effectively.
• Familiarity with cloud platforms, preferably AWS.
• Preferred start date September 1 or earlier

OUR OFFER IN RETURN FOR YOUR TALENT AND SKILLS

• A hybrid work environment - we have working days at the office on Mondays and Thursdays
• Paid lunch
• Pension contribution of 4.5%
• Mental well-being guidance through OpenUp
• Macbook Pro 16”
• Travel allowance for office commute
• Annual learning budget of € 1,000
• Work from home budget of € 550
• Monthly wifi & phone plan reimbursement of €50
• Unlimited holidays and we expect you at least to take 25 per year
• Each quarter we have a big company event that includes dinner and special activities
  At Source, we highly value diversity of backgrounds and thoughts. Research has shown that people make different internal assessments of whether they are a good fit for the job. We therefore highly encourage you to apply for this job, even if you feel you might not ‘tick all the boxes

THE OPPORTUNITY: WHAT YOU’LL DO

As a Software Engineer at Source.ag, you will be a core contributor to the systems that power our AI-driven platform. You won’t just be closing tickets; you will be building and scaling the infrastructure that turns complex data into critical decisions for our growers.
At our core, we are a data-intensive systems company solving real-world agricultural challenges. Our main technical challenge is to model the complex biological and operational reality of a high-tech greenhouse. This involves building robust systems to process diverse data streams—from IoT sensors to user-input from our iPad apps—and turning that data into actionable intelligence. You will be instrumental in designing, building, and scaling these critical systems.

IN THIS ROLE, YOU WILL:

• Design, build, and maintain scalable microservices primarily in Golang, with opportunities to work in Python on our ML/data-centric services.
• Work with a modern, diverse data stack, including PostgreSQL, TimescaleDB, MongoDB, and our core analytics platform on Databricks.
• Build robust, high-performance APIs using gRPC for internal communication and contribute to our GraphQL BFF that serves our frontend.
• Own your services from idea to production and beyond. You will write code, build tests, and deploy your services using our GitOps pipeline on AWS (ECS & Lambda).
• Contribute to our architectural evolution. You will be a key voice in discussions around service boundaries, communication patterns, and best practices.
• Collaborate across the stack. While your focus will be on the backend, you’ll have opportunities to contribute to our frontend (React/Typescript) to help ship features end-to-end.
  AI at Source.ag: How We Build
  AI is core to how we operate and what we build. We equip our engineers with the best tools available, like Cursor, OpenAI Codex or similar tools, to accelerate development. If you are excited by the opportunity to apply modern AI and LLMs to a unique, real-world dataset to solve complex problems, you will be right at home here.