You will be responsible for developing and maintaining the systems that transform nutrition data into actionable insights, building scalable data pipelines, productionizing ML models and creating backend services that power the intelligence behind Cronometer’s products. Your work will drive smarter recommendations, deeper analytics, and more personalized experiences for our users.

We want to find a great fit with someone who has a passion for our mission to empower people in making informed decisions on their health & wellness and can demonstrate the skills and talent we’ll need to take our products to the next level. While we prioritize applicants that want to live the mountain lifestyle here in Revelstoke, we will consider remote for the right candidate.

What you'll be doing

• Shape how nutrition data becomes knowledge. Work closely with data scientists to bring ML models into production to power smarter food search, recommendations, and nutrient estimation
• Build and scale the data backbone of Cronometer. Design and maintain reliable data pipelines that transform large, complex nutrition datasets into clean, useful information powering our app and analytics
• Develop intelligent, data-driven services. Create and optimize backend systems and APIs (Java, Python, SQL) that deliver insights to millions of users and enable new product experiences
• Power decisions across the company. Grow our internal data and analytics platform on AWS to improve visibility, observability, and data quality across all teams
• Innovate at the frontier of food and AI. Experiment with LLM-powered tools and novel data enrichment ideas through hands-on prototyping and research
• Own software changes through to production, delivering new code frequently, often multiple times per day
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What you bring to the table

• 3+ years of professional experience as software engineer
• Strong coding skills in Java and/or Python, with a solid grasp of software design principles
• Experience developing and delivering high-quality software using modern agentic tools
• Proficiency with SQL and experience designing and optimizing relational and analytical databases (MySQL, Postgres, Redshift, etc.)
• Familiarity with data modelling, schema evolution, and testing practices for data systems
• Ability to explain technical details clearly and work effectively across engineering, data science, and product teams
• Interest in exploring datasets, finding insights, and ability to balance research depth with delivery speed
• Ability to lead projects independently and with a high degree of autonomy, working with imperfect requirements while staying aligned with team goals
• A track record of consistently shipping high quality software to production, potentially multiple times per day
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• Nice to haves