Senior Backend Product Engineer - Python and/or Go (all genders)

HelloFresh is a global food solutions group and the world's leading meal kit provider operating across 18 countries and 3 continents. The HelloTech division in Warsaw includes over 1,000 people who build technology powering an end-to-end food ecosystem, including digital personalization, forecasting, supply chain optimization, and food waste reduction.

• Hands-on experience working with AI tooling (e.g., Claude Code, Cursor, Copilot) beyond casual experimentation.
• Strong fluency in Go or Python with hands-on experience building distributed systems in production: event-driven and asynchronous flows, clear service contracts, designed for partial failure.
• Experience building, deploying, and operating critical backend services in a production environment.
• Technical comfort with distributed systems, messaging queues, containerization, and modern deployment infrastructure.
• Strong software engineering instincts, including practical application of design methodologies like TDD, BDD, or DDD.
• Excellent communication capabilities in an international, multi-disciplinary technical environment.
• Strong sense of ownership, bias to ship, and finish work completely.
• Product sense with the ability to back opinions on what should be built with data and user evidence.

• Take technical lead on backend-heavy product problems, designing, building, and operating services and systems for reliable scale under a full DevOps model.
• Build event-driven systems utilizing messaging technologies such as Kafka, RabbitMQ, or AWS SQS/SNS.
• Expose data via clean REST and gRPC interfaces.
• Work extensively with Docker, container orchestration via Kubernetes, and CI/CD automated deployment pipelines.
• Maintain a strong commitment to testing, executing robust test suites from unit to full end-to-end coverage.
• Collaborate closely within cross-functional agile teams including product leads, frontend engineers, designers, and data teams.
• Provide technical guidance and support to team members, participate in code and architecture reviews.
• Leverage modern AI tools and workflows (e.g., Claude, Cursor) to increase productivity.
• Work beyond specialization when required.
• Operate and improve systems in production, monitoring and instrumenting built solutions.