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HelloFresh

Senior Backend Product Engineer, Menu Planning

Toronto, Ontario, Canada; Toronto, ON, CanadaCanada
Senior · Tech
POSTED 28 OCTVERIFIED 2H AGO
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Role
10 days opentrue age
Closes in ~31d at the median (41d)
Posted 28 Oct · n=43
Payats field
CAD 120k–150kposted
▼ −10% vs market median CAD 151k
CAD 120kCAD 198k
Market p25–p75
CAD 141k–CAD 174k
HelloFresh p25–p75
CAD 135k–CAD 198kn=4
Toronto · n=26 · 365d to 6 Nov
CompanyHelloFresh →
387open roles
Opened · 30d
+48
Closed · 30d
−43
5d of snapshots · 30d window
Market
2,864open · Senior Backend
All backend
8,392open
All tracked boards · live 8 Nov · n=2,864
Visa
8H-1B LCAs · FY26
Median wage
$133k
LCAs FY26 · n=8 · to 2026-05-22
ReactPythonGoJavaPostgreSQLKafkaAWSKubernetesDockerAirflowSnowflakeDistributed systems

S'more about the team

The Menu Operations team ensures the accuracy, reliability, and consistency of data and workflows across our ecosystem. This role will focus on automated data validation, cross-system reconciliation, monitoring, troubleshooting, and developing scalable solutions that improve data quality and operational efficiency.

The role will work closely with engineering, product, culinary, editorial, and business teams to identify data issues, improve validation processes, and standardize best practices across markets.

As we continue evolving this system, extending its capabilities, and preparing for expansion, we are looking for a Senior Software Engineer with strong backend experience, a talent for turning complex logic into clean, reliable systems, and enough full-stack fluency to support and enhance our internal application.

Above all, we are looking for people who will make HelloFresh better. We believe there are many different ways of developing skills and we love diverse experiences! So even if you don’t “tick all the boxes” but think you’d thrive in this role, we would really like to learn more about you.

Lettuce share what this role will be responsible for

  • 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.
  • Design and delivery of scalable backend platforms and distributed systems, leveraging

AI-assisted and agentic engineering workflows to accelerate delivery and improve system quality.

  • Design, develop, and maintain backend services, ensuring scalable, reliable API interactions with our internal application
  • Collaborate closely with engineers, analysts, and planners to translate domain knowledge into robust, maintainable system logic
  • Contribute to the evolution of the platform toward event-driven patterns using technologies like Kafka
  • Support frontend needs for our internal React application, ensuring seamless integration between FE and BE layers
  • Improve reliability through automated testing, performance tuning, and thoughtful system design
  • Guide as well as learn through pairing, design discussions, and knowledge sharing to help strengthen collective ownership across a strong, team-first environment
  • Participate in shaping the future direction of an advanced system
  • All other duties, as assigned

Sound a-peeling? Here's what we're looking for

  • Proficiency and production experience with one or more backend languages such as Golang, Python, or Java.
  • Hands-on experience with Docker, Kubernetes, and modern CI/CD practices in

production environments.

  • Bachelor’s or Master’s degree in Computer Science, Engineering or related field
  • Hands-on experience building production-grade APIs
  • Solid knowledge and experience with relational databases and comfortable working with data across various data systems (PostgreSQL, Snowflake, S3)
  • Experience with event-driven architecture and messaging technologies (Kafka)
  • Working knowledge of cloud environments, containerization, and orchestration (AWS, Docker, Airflow)
  • Experience contributing to or designing scalable architecture for internal tools or operational platforms
  • Full-stack capability with React or another modern FE framework a plus — enough to support and enhance application
  • Strong communication skills and a proactive, collaborative approach to working with engineers, analysts, planners, and product partners
  • Comfort working through ambiguity and contributing clarity through simple, pragmatic design choices
  • A mindset of continuous learning, knowledge sharing, and improving the systems
  • 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.
  • You take full ownership. You have a bias to ship. You finish the last twenty percent.
Source · HelloFreshFirst seen 6 NovOriginal ↗