Backend Engineer, Consumer

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 Design, develop, and maintain scalable and reliable back-end services, focusing on distributed architecture and microservices. Lead the migration of critical services from a monolithic architecture to a microservices framework, ensuring seamless integration and high availability. Conduct code reviews and provide mentorship to junior engineers, promoting best practices in software development, testing, and deployment. Analyze system performance, identify bottlenecks, and implement optimizations to ensure optimal efficiency and reliability of services. Stay up-to-date with industry trends and emerging technologies, applying relevant advancements to improve the team’s technology stack and processes. Contribute to architectural discussions and decisions, providing technical guidance and insights to shape the overall direction of solution design. Sound a-peeling? Here’s what we’re looking for Experience: Experience in software engineering, with a strong focus on back-end development and system architecture. Technical Skills: Proficiency in back-end technologies and programming languages (e.g., Go, Java) and a deep understanding of distributed systems and microservices architecture. Migration Expertise: Hands-on experience in migrating applications from monolithic architectures to microservices, demonstrating problem-solving capabilities and technical leadership. Cloud Proficiency: Familiarity with cloud computing platforms (e.g., AWS, Azure, GCP) and container orchestration tools (e.g., Docker, Kubernetes) for deploying and managing services at scale. Agile Methodologies: Solid experience in Agile development practices, with an ability to adapt to changing priorities and deliver high-quality results on time. Mentorship Skills: Strong mentorship abilities, with a passion for guiding and developing junior/senior engineers while fostering a collaborative team culture. Analytical Mindset: Excellent analytical and troubleshooting skills, with a proactive approach to identifying and resolving technical challenges. Communication Skills: Effective verbal and written communication skills, capable of articulating complex technical concepts to diverse audiences and collaborating effectively with cross-functional teams. Solid hands-on experience working with AI coding agents (e.g., Claude Code, Cursor, Copilot) beyond casual experimentation. You use AI agents as thought partners to onboard on unfamiliar codebases and navigate new areas of the code with confidence. You have a practical sense of how the context you provide to AI tools - specifications, constraints, examples - shapes output quality, and a developing awareness of how agentic outputs can fail, with growing habits around verifying, testing, and setting boundaries on AI-generated work. Let’s cut to the cheese, this is why you’ll love it here Box Discount