Senior Software Engineer I, CAN_2026 - Greenhouse

At Greenhouse, our mission is to make hiring work for everyone – so we go to great lengths to hire great people because we believe that they’re the foundation of our success. At Greenhouse, you’ll join a team that collaborates purposefully, fosters inclusivity, and communicates with transparency and accountability so we can achieve our mission.

Greenhouse is searching for a Senior Full Stack Engineer to join our Employer Experience & Talent Discovery team. This team builds the experiences and signals that help employers find the right talent faster, while creating the foundation for a trusted talent discovery ecosystem.

In this role, you’ll contribute to Talent Matching, Talent Rediscovery, and related employer-facing experiences. You’ll work across the stack to build product capabilities and the search and matching systems behind them, with a particular focus on OpenSearch or Elasticsearch and practical applications of AI to matching, ranking, and search relevance.

Who will love this job

• A mentor – you’re passionate about guiding and developing your peers, sharing your knowledge, leading projects, and contributing to the team’s collective success
• A doer – you’re driven to get things done, act with agility, and adapt seamlessly to dynamic environments
• A pragmatic architect – you evaluate trade-offs between performance, relevance, maintainability, and cost, choosing patterns that simplify complexity for the long term
• A problem solver – you think about the bigger picture, connect the dots, and efficiently resolve technical and product challenges
• An excellent communicator – you explain technical processes clearly, including to non-engineers, and work well with Product, Design, Data, and Applied ML partners
• A search and matching builder – you enjoy turning complex retrieval and ranking problems into intuitive, trustworthy product experiences

What you’ll do

• Collaborate closely with Product Managers and Designers to define requirements and drive product development from conception to launch
• Build and improve full-stack experiences for Talent Matching, Talent Rediscovery, and related talent discovery workflows
• Design and ship search-backed capabilities using OpenSearch or Elasticsearch, including indexing strategies, query design, relevance tuning, ranking improvements, and semantic retrieval patterns
• Develop matching systems that combine keyword, structured, and semantic signals, applying AI/ML techniques such as embeddings, similarity search, classification, and ranking to improve match quality and consistency
• Partner with Applied ML and cross-functional engineering teams to evaluate trade-offs across relevance, latency, reliability, infrastructure cost, and user trust
• Mentor and guide junior and mid-level engineers, conduct thorough code reviews, and contribute to team engineering practices

You should have

• 5+ years of experience writing production code
• Deep experience with OpenSearch or Elasticsearch in production, including indexing, query design, relevance tuning, and performance trade-offs
• Experience with Ruby, C#, Java, or Python; Ruby on Rails preferred
• Strong JavaScript or TypeScript fundamentals, including React
• Full-stack experience across backend systems, APIs, data modeling, and modern frontend development
• Experience building search, ranking, recommendation, or matching systems
• Practical experience applying AI or ML techniques in production, such as embeddings, semantic search, classification, or ranking
• Experience collaborating with Product and Design in ambiguous, user-facing problem spaces
• Experience with analytical databases is a plus

Applicants must be legally eligible to work in Canada as of the start date chosen by the Company.

Who we are

At Greenhouse, we live by our mission through using our own product to help us hire the right person for the job, every time. We’re committed to designing and responsibly using AI tools to transform how we work while keeping people at the center. We are a remote-first company and have shared office spaces in New York City and Ireland, and optional co-working spaces that give us flexibility to do our best work anywhere.