Senior Software Engineer I

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 experience
• 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
• 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, a plus
• Your own unique talents! Your background has given you a unique perspective and set of transferable skills that aren't always in alignment with a given role - but those are qualities we value at Greenhouse. If you don't meet 100% of the qualifications outlined above, we still strongly encourage you to apply

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