backend product engineer python/go for meal kit systems

HelloFresh is a global food solutions group and meal kit provider that delivers high-quality food across 18 countries and 3 continents. Its portfolio includes HelloFresh, Green Chef, EveryPlate, Chefs Plate, Factor_, and Youfoodz. HelloTech is its global technology division, powering an end-to-end food ecosystem through digital personalization, forecasting, supply chain optimization, and food waste reduction.

• Take the technical lead on backend-heavy product problems, designing, building, and operating reliable services and systems at scale under a full DevOps model
• Build event-driven systems using messaging technologies such as Kafka, RabbitMQ, or AWS SQS/SNS, and expose data through REST and gRPC interfaces
• Work with Docker, Kubernetes, and CI/CD automated deployment pipelines
• Maintain robust test suites, from unit tests through end-to-end coverage
• Collaborate with cross-functional agile teams, including product leads, frontend engineers, designers, and data teams
• Provide technical guidance to team members and participate in code and architecture reviews
• Use modern AI tools and workflows, such as Claude and Cursor, to increase productivity
• Work beyond the area of specialization when needed
• Operate, instrument, monitor, and improve systems in production

• Strong fluency in Go or Python and hands-on experience building distributed systems in production, including event-driven and asynchronous flows, clear service contracts, and design for partial failure
• High proficiency in one stack and willingness to expand technical knowledge into Go
• Experience building, deploying, and operating critical backend services in production
• Technical familiarity with distributed systems, messaging queues, containerization, and modern deployment infrastructure
• Practical application of software design methodologies such as TDD, BDD, or DDD, and ability to make sound technical trade-offs
• Excellent communication skills for working in an international, multidisciplinary technical environment
• Take ownership, prioritize shipping, and follow work through to completion
• Product sense, with the ability to support product opinions using data and user evidence
• Hands-on experience with AI tools beyond casual experimentation; use AI agents daily and understand how context affects output quality and how to set boundaries on AI-generated work

• Access to a Warsaw city-centre workspace with showers, breakout zones, outdoor space, cycle parking, coffee, soft drinks, and fruit