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

HelloTech operates in autonomous, cross-functional alliances, each holding accountability for a specific product domain end to end. The service provider will join an assigned squad, with the flexibility to transition between teams and projects as technical objectives and business priorities evolve.

Several technical domains are actively engaging providers. Projects will be aligned based on individual strengths and expertise during the process. Key technical domains include:

• Marketing Customer Profile squad: Builds AI-powered backend systems that automate campaign execution end-to-end, from content generation and validation to multi-channel delivery across email, SMS, and push.
• Conversions Tribe: supporting the "Reachable Audience" and Personalization initiatives. The mission is to build the systems that power customized user journeys at scale.

Across all domains, the technical profile consists of highly available, event-driven distributed systems serving global architectures. This role does not include people management responsibilities.

At HelloFresh we are moving away from a model where software developers just execute tickets toward one where product engineers are trusted to own customer problems. A Product Engineer takes a problem, forms a point of view, validates it with customers and data, and ships it using AI as a force multiplier.

• Take the technical lead on backend-heavy product problems, designing, building and operating the services and systems needed to deliver them reliably at scale under a full DevOps model..
• Build event-driven systems utilizing messaging technologies such as Kafka, RabbitMQ, or AWS SQS/SNS, and 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 stretching from unit tests through 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 surrounding team members, actively participating in code and architecture reviews.
• Leverage modern AI tools and workflows (e.g., Claude, Cursor) as a standardized component of engineering delivery to increase productivity.
• Work beyond your specialization when the problem demands it. Your specialization is your anchor, not your boundary.
• Operate what you build. You instrument, monitor, and improve your systems in production. Shipping is the beginning of the learning cycle, not the end.

What You’ll Bring: The Ingredients

• Hands-on experience working with AI tooling (e.g., Claude Code, Cursor, Copilot) beyond casual experimentation. You use AI agents every day. You have a practical sense of how the context you provide to AI tools shapes output quality, and how to set boundaries on AI-generated work.
• Strong fluency in Go or Python and hands on experience building distributed systems in production: event-driven and asynchronous flows, clear service contracts, and designing for partial failure. High proficiency in one stack is required, with a willingness to expand technical knowledge into Go. You operate what you build, including its observability and data layer.
• Solid experience building, deploying, and operating critical backend services in a production environment.
• Technical comfort navigating distributed systems, messaging queues, containerization, and modern deployment infrastructure.
• Strong software engineering instincts, including practical application of design methodologies like TDD, BDD, or DDD, and the ability to make sensible technical trade-offs.
• Excellent communication capabilities to operate effectively inside an international, multi-disciplinary technical environment.
• You take full ownership. You have a bias to ship. You finish the last twenty percent.