Senior Software Engineer

Greenhouse; New York (NY); Teletrabalho; CAD 118 000 - 165 000; Tempo integral

Resumo da oferta

Greenhouse is seeking a Senior Full Stack Engineer to join the Employer Experience & Talent Discovery team in Canada. You’ll work across the stack on Talent Matching, Rediscovery, and employer-facing experiences, focusing on OpenSearch/Elasticsearch and AI-driven relevance.

You’ll collaborate with product design and data science, mentor teammates, and ship search-backed features that improve match quality, latency, and reliability.

Qualificações

• 5+ years of production code experience.
• Deep experience with OpenSearch or Elasticsearch in production environments.
• Proficiency with Ruby, C#, Java, or Python; Ruby on Rails preferred.
• 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/ML techniques in production (embeddings, semantic search, classification, ranking).
• Ability to collaborate with Product and Design in ambiguous, user-facing spaces.
• Experience with analytical databases is a plus.
• We value diverse backgrounds and encourage applicants who don't meet 100% of qualifications to apply.

Responsabilidades

• Collaborate with Product Managers and Designers to define requirements and drive development from conception to launch.
• Build and improve full-stack experiences for Talent Matching and related workflows.
• Design and ship search-backed capabilities using OpenSearch or Elasticsearch with indexing strategies and relevance tuning.
• Develop matching systems using keyword, structured, and semantic signals and AI/ML techniques to improve match quality.
• Partner with Applied ML and cross-functional teams to balance relevance, latency, and reliability.
• Mentor junior and mid-level engineers and contribute to engineering practices.

Conhecimentos

Production-grade software development

Programming languages (Ruby, C#, Java,

Full-stack web development

AI/ML techniques (embeddings, semantic

Search and ranking systems

Cross-functional collaboration

Eng experience with Product/Design/ML

Ferramentas

OpenSearch/Elasticsearch

Ruby on Rails

Descrição da oferta de emprego

Our mission at Greenhouse 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.

Join us to do the best work of your career, solving meaningful problems with remarkable teams.

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

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
• 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

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

For purposes of processing or administering your employment relationship, personal information that you provide to the Company may be transferred to and accessed by an affiliate in the United States or elsewhere, or to agents and contractors (such as payroll companies, insurance companies, information technology consultants, etc.) that provide services to the Company.

The expected base salary for this role is CAD $117,500 - $164,500. Individual compensation will be commensurate with the candidate's experience and qualifications. Certain roles may be eligible for additional compensation, including stock option awards, bonuses, and merit increases. Additionally, certain roles have the opportunity to receive sales commissions that are based on the terms of the sales commission plan applicable to the role.

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. We take an active role in our growth through a performance review program that’s committed to providing actionable feedback, and a bonus structure that rewards great performance. We believe that bringing together a variety of perspectives makes us a stronger company – and we nurture leaders who create an inclusive culture and invest into employee resource groups that celebrate our differences and life experiences. We’re proud to have built an award-winning culture that’s been recognized as Fortune’s Best Places to Work and Inc.’s Best Workplaces multiple years in a row.

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Greenhouse Software is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, veteran status, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation during the application process, reach out to [e-mail].

Emails about job opportunities at Greenhouse Software are only offered by employees with @greenhouse.io email addresses. See this page on our website if you suspect a phishing scam.

This company has demonstrated its commitment to being:

Respectful

Provides candidates with inclusive and positive experiences

Communicative

Sends timely application and interview updates

Prepared

Prepares interviewers to ask informed and consistent questions

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Due to current team needs, we are only considering candidates based in the BC or Ontario.