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Open nowPosted 3 days ago

Greenhouse - Software Engineer

Silver47 open roles

Pay
$33 – $55 an hour
Where
Argentina
Work mode
Remote
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Your applicationOpen nowGreenhouse - Software EngineerSilver · Argentina

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The clock on this job

Early applications get read.

7.8% of postings close within 7 days. Measured by our own scanner across the market. Silver postings stay open a median of 3 days.

Share of postings closed within
  1. 1.6%1 day
  2. 3.4%3 days
  3. 7.8%7 days
  4. 14.3%14 days
  5. 33.7%30 days
This job: posted 3 days ago

Silver median: 3 days open

The posting

ABOUT GREENHOUSE

At Greenhouse, our mission is to make hiring work for everyone. We build software that helps organizations hire the right people through structured, data-driven recruiting processes. We believe great companies are built by great people, and we're focused on creating technology that makes hiring more effective, fair, and scalable.

Greenhouse is a remote-first company with a distributed team across the US, Canada, Ireland, and other locations. The company is committed to building inclusive teams and creating an environment where people can do meaningful work, collaborate transparently, and continue developing their skills.

ABOUT THE TEAM

You'll be joining the Employer Experience and 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.

The team works across product, engineering, data, and applied machine learning to build experiences around Talent Matching, Talent Rediscovery, search, ranking, and relevance.

You'll collaborate with a distributed team and work closely with Product, Design, Data, and Applied ML partners to build and improve experiences that help employers discover relevant candidates.

JOB SUMMARY

We're seeking a Software Engineer to support the development and maintenance of Greenhouse's web-based applications as part of an approximately 12-month engagement.

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.

This is a collaborative, execution-focused engagement. You'll spend the majority of your time in the code, building features, fixing bugs, and ensuring our products remain stable and performant for users.

BASIC QUALIFICATIONS

- 5+ years of experience writing production software.

- Experience with Ruby, C#, Java, or Python, with Ruby on Rails preferred.

- Strong JavaScript or TypeScript fundamentals, including React.

- Full-stack experience across backend systems, APIs, data modeling, and modern frontend development.

- Production experience with OpenSearch or Elasticsearch, including indexing, query design, relevance tuning, and performance considerations.

- Experience building or working with search, ranking, recommendation, or matching systems.

- Practical experience applying AI/ML techniques to production applications.

- Experience collaborating with Product and Design in ambiguous, user-facing problem spaces.

- Ability to develop clean, efficient, maintainable, and scalable production code.

- Strong communication and collaboration skills across technical and non-technical teams.

PREFERRED QUALIFICATIONS

- Experience with Ruby on Rails.

- Strong experience working with OpenSearch or Elasticsearch at scale.

- Experience with semantic search, embeddings, ranking, recommendation, or matching systems.

- Experience applying AI/ML capabilities to real-world production applications.

- Experience building evaluation, observability, testing, and feedback mechanisms for search or matching systems.

- Experience with analytical databases.

- Experience working in product-focused engineering teams where engineers collaborate closely with Product, Design, Data, and ML.

- Strong understanding of trade-offs between relevance, latency, reliability, infrastructure cost, and user experience.

- Experience working in distributed or remote engineering environments.

This is an independent contractor engagement in Argentina. Deel will serve as Contractor of Record and will contract with and pay the independent contractor. The independent contractor will provide services to Greenhouse on a non-exclusive basis, may provide services to other clients, and will be responsible for determining the manner and means of performing the services, subject to the applicable statement of work and agreed deliverables. This engagement is not an employment relationship with Greenhouse. No employment relationship, social benefits, or labor entitlements under Argentine Law 20,744 are created by this engagement.

Through this arrangement, Deel is hiring an independent contractor to provide services to the Employer Experience and 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.

This role will support the development and maintenance of the Company’s web-based applications as part of an approximately 12-month engagement. 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.

This is a collaborative, execution-focused, non-exclusive engagement. You will spend the majority of your time in the code building features, fixing bugs, and ensuring our products remain stable and performant for users.

Contract & location details

- Contract duration: Approximately 12 months

- Engagement type: A non-exclusive contract role engaged through a Contractor of Record (COR) via Deel in Argentina

- Location: Argentina (remote)

- Working model: Collaboration with a distributed, US & Canada-based team with reasonable availability for coordination with Greenhouse stakeholders

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