About this role
S'more about the team
Our New Ventures team is focused on growing our global footprint by launching our core products in new markets and expanding across multiple brands and verticals. We’re a globally distributed team operating across 7+ brands in 15+ countries, building desirable products and seamless, engaging experiences that customers haven’t seen before. With many exciting projects underway, we’re driven to generate the next billion-dollar business—so if you’re passionate about tackling bold challenges, join us!
We are a close-knit group of engineers of different stripes - developers, designers, and product owners - who are working together to solve interesting e-commerce and supply chain problems around how people eat. Sometimes, this involves implementing features to improve the user journey and making it easier for our customers to buy amazing food. Other times, this means creating stable software solutions that keep our distribution centers running.
We are looking for an engineer to help implement solutions & write beautiful code, working with various team members as we build out our consumer facing applications & the infrastructure that supports them. As a member of our Toronto team, you’ll work with highly-skilled engineers, who in collaboration with our other global teams, have turned HelloFresh into the #1 meal delivery service in the world!
Lettuce share what this role will be responsible for
• Lead the design and delivery of scalable backend platforms and distributed systems, leveraging AI-assisted and agentic engineering workflows to accelerate delivery and improve system quality.
• Drive technical discovery, requirements refinement, and solution architecture in ambiguous problem spaces, translating product and business goals into scalable execution strategies.
• Design and optimize AI-enabled development workflows, including spec-driven development, agent orchestration, context management, automated verification, and quality validation.
• Partner closely with product, platform, and engineering teams to foster a strong product engineering mindset focused on customer value, experimentation, and measurable outcomes.
• Lead architectural discussions, mentor engineers in modern backend and AI-assisted engineering practices, and establish standards for observability, quality engineering, and system reliability.
• Evaluate emerging technologies and AI tooling to continuously enhance engineering effectiveness, software quality, and organizational scalability while ensuring strong human oversight and operational accountability.
Sound a-peeling? Here's what we're looking for
• Strong experience with microservice architectures, event-driven systems (e.g. Kafka, RabbitMQ), and distributed systems design patterns.
• Hands-on experience with Docker, Kubernetes, and modern CI/CD practices in production environments.
• Proficiency with relational and document databases, including PostgreSQL, MySQL, and/or MongoDB