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Greenhouse Software

Senior Software Engineer

Greenhouse Software

. Collaborate with Product Managers and Designers to define requirements and drive product development from conception to launch .

Posted 10/30/2026full-timeRemote • CanadaSenior💰 CA$117,500 - CA$164,500 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in full-stack development, particularly in building search and matching systems using OpenSearch or Elasticsearch. Proficient in applying AI/ML techniques to enhance product capabilities while collaborating effectively with cross-functional teams.

Highest-signal resume keywords
OpenSearchElasticsearchRuby on RailsAI/ML TechniquesFull-Stack Development

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Production Code WritingIndexing StrategiesQuery DesignRelevance TuningJavaScriptTypeScriptReactData ModelingMatching SystemsSemantic Search
Soft Skills
CollaborationMentoringCode Review
Tools & Technologies
RubyC#JavaPythonAnalytical Databases
Industry Keywords
Talent MatchingTalent RediscoveryUser-Facing Problem Spaces

Tech Stack

Tools & technologies
ElasticSearchJavaJavaScriptPythonReactRubyRuby on RailsTypeScript

About the role

Key responsibilities & impact
  • Collaborate 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 combining keyword, structured, and semantic signals
  • Apply 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 relevance, latency, reliability, infrastructure cost, and user trust trade-offs
  • Mentor junior and mid-level engineers
  • Conduct thorough code reviews and contribute to team engineering practices

Requirements

What you’ll need
  • 5+ years of experience writing production code
  • Deep production experience with OpenSearch or Elasticsearch, 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 production experience applying AI or ML techniques 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

Benefits

Comp & perks
  • Additional compensation may include stock option awards, bonuses, and merit increases
  • Sales commissions may be available for certain roles
  • Remote-first work environment
  • Shared office spaces in New York City and Ireland
  • Optional co-working spaces
  • Performance review program with actionable feedback
  • Bonus structure rewarding great performance
  • Employee resource groups
  • Award-winning culture recognized as Fortune’s Best Places to Work and Inc.’s Best Workplaces