高级软件工程师 I (CAN_2026)
Senior Software Engineer I (CAN_2026)
我们的使命是让招聘对每个人都有意义——因此我们不遗余力地招聘优秀人才，因为我们相信他们是成功的基础。在 Greenhouse，你将加入一个有目的协作、促进包容性、以透明和问责的方式沟通的团队，从而实现我们的使命。
加入我们，开启职业生涯中最出色的工作，与卓越的团队一起解决有意义的问题。
Greenhouse 正在寻找一名高级全栈工程师加入我们的雇主体验与人才发现团队。该团队构建了帮助雇主更快找到合适人才的体验和信号，同时为可信赖的人才发现生态系统打下基础。
在这个职位中，你将参与人才匹配、人才再发现以及相关的雇主端体验。你将在整个技术栈上工作，构建产品功能及其背后的搜索和匹配系统，特别关注 OpenSearch 或 Elasticsearch 以及人工智能在匹配、排序和搜索相关性方面的实际应用。
### **谁会爱上这份工作**
- **一位导师**——你热衷于指导和培养同事，分享知识，领导项目，并为团队的集体成功做出贡献
- **一位实干者**——你有动力完成任务，敏捷行动，并无缝适应动态环境
- **一位务实的架构师**——你在性能、相关性、可维护性和成本之间权衡，选择能长期简化复杂性的模式
- **一位问题解决者**——你考虑大局，连接各个要点，高效解决技术和产品挑战
- **一位优秀的沟通者**——你能清晰解释技术流程，包括向非技术人员解释，并与产品、设计、数据和应用机器学习伙伴良好合作
- **一位搜索与匹配构建者**——你喜欢将复杂的检索和排序问题转化为直观、值得信赖的产品体验
### **你将负责**
- 与产品经理和设计师紧密合作，定义需求并推动产品从构思到发布的开发
- 构建和改进人才匹配、人才再发现及相关人才发现工作流程的全栈体验
- 使用 OpenSearch 或 Elasticsearch 设计并发布基于搜索的功能，包括索引策略、查询设计、相关性调优、排序优化等
查看英文原文
Our [mission](https://www.greenhouse.com/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
- 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
_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 national pay range for this role is $117,500 - $164,500 CAD. 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._
_#LI-RS1_
### **Who we are**
At Greenhouse, we live by our mission through [using our own product](https://www.greenhouse.com/interviewing-at-greenhouse) 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](https://www.greenhouse.com/awards) 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 accommodations@greenhouse.io._
_Emails about job opportunities at Greenhouse Software are only offered by employees with @greenhouse.io email addresses. See_ [_this page_](https://www.greenhouse.com/candidate-phishing-scams) _on our website if you suspect a phishing scam._