A private community for global citizens.

Senior Backend Engineer

Backend EngineerSoftware EngineerFull TimeRemoteTeam 51-200H1B SponsorCompany Site LinkedIn

Location

United States

Posted

65 days ago

Salary

Not specified

Bachelor Degree6 yrs expExperience acceptedEnglishElastic SearchJava ScriptMongo DBNode.jsPostgresSDLCSQLGo

Job Description

• Product Ownership: Lead key components of our Core Services, including People Recommendations Engines • Data Engineering: Apply your in-depth knowledge with databases such as Postgres SQL, MongoDB, and ElasticSearch to supercharge our application's performance and reliability • Collaboration: Work hand-in-hand with cross-functional teams, ranging from UX designers to data scientists, ensuring our solutions are comprehensive and user focused • Continuous Learning: Stay updated with the latest in Raya's tech ecosystem, ensuring our solutions are scalable, maintainable, and innovative • User-Centric Development: Prioritize and advocate for top-tier user experiences, utilizing feedback loops and data-driven methodologies to define and refine product features • Operational Excellence: Navigate the full Software Development Life Cycle (SDLC), ensuring agile methodologies, CI/CD practices, and Raya's best practices are integrated into all development phases

Job Requirements

A BS/MS in Computer Science, Engineering, Mathematics, Software Engineering or a related technical field (Professional Experience can be substituted for candidates with non-engineering educational backgrounds or experience with software-specific training courses/programs)
6+ years of hands-on experience in modern software development environments, with a track record of delivering scalable and maintainable systems
Demonstrated expertise in system design, architecture, and mastery in at least one software programming language, ex. Node.js, Javascript, Golang, or Typescipt
Strong collaborative instincts, emphasizing open communication, transparency, and cross-team interaction
Production experience with Search applications (ex. OpenSearch, Vector database, Elasticsearch)
Proven experience in building and scaling backend systems, ideally in production at a startup or fast-moving environment.
Hands-on knowledge of agentic GenAI systems (e.g., orchestrating multi-step LLM pipelines, tool use, or retrieval-augmented workflows)
Demonstrated enthusiasm for AI tools and a track record of experimenting with or shipping projects that leverage LLMs.
Understanding of prompt engineering, fine-tuning, or model integration in production contexts
Curiosity around new AI frameworks and a willingness to quickly adopt emerging best practices
Demonstrated enthusiasm for AI tools and a track record of experimenting with or shipping projects that leverage LLMs
Understanding of prompt engineering, fine-tuning, or model integration in production contexts
Curiosity around new AI frameworks and a willingness to quickly adopt emerging best practices