FREE ACCESS
5,000–10,000 jobs/day
See all jobs on Scoutfield
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.

Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates extensive experience in developing and maintaining web-based applications, with a strong focus on search and matching systems. Proficient in applying AI/ML techniques to enhance product capabilities and user experiences while collaborating effectively with cross-functional teams.
Highest-signal resume keywords
Ruby On RailsOpenSearchElasticsearchAI/ML TechniquesFull-Stack Development
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
RubyC#JavaPythonJavaScriptTypeScriptReactAPIsData ModelingAnalytical Databases
Soft Skills
Strong CommunicationCollaboration Skills
Tools & Technologies
OpenSearchElasticsearch
Industry Keywords
Search SystemsMatching SystemsRecommendation SystemsUser ExperienceDistributed Engineering
Tech Stack
Tools & technologiesElasticSearchJavaJavaScriptPythonReactRubyRuby on RailsTypeScript
About the role
Key responsibilities & impact- Develop and maintain Greenhouse's web-based applications
- Support Talent Matching, Talent Rediscovery, and related employer-facing experiences
- Build product capabilities and search and matching systems across the stack
- Work with OpenSearch or Elasticsearch for search, indexing, query design, relevance tuning, and performance
- Apply AI to matching, ranking, and search relevance in production applications
- Build features and fix bugs
- Ensure products remain stable and performant for users
- Collaborate with Product, Design, Data, Applied ML, and distributed engineering teams
- Contribute to evaluation, observability, testing, and feedback mechanisms for search or matching systems
Requirements
What you’ll need- 5+ years of experience writing production software
- 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
- 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
- Experience with OpenSearch or Elasticsearch at scale
- Experience with semantic search, embeddings, ranking, recommendation, or matching systems
- Experience building evaluation, observability, testing, and feedback mechanisms for search or matching systems
- Experience with analytical databases
- Experience working in product-focused engineering teams 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
- Must be physically located in Argentina
Benefits
Comp & perks- Remote work in Argentina
- Approximately 12-month engagement
- Non-exclusive contract arrangement
- Opportunity to work with a distributed, US & Canada-based team
- Collaboration with Product, Design, Data, and Applied ML partners
- Professional skill development through work on talent matching, search, ranking, relevance, and AI/ML applications