Senior Backend Engineer

Raya

Senior Backend Engineer at Raya developing scalable Node.js backend solutions. Leading initiatives in messaging and location-based services within a high-growth environment.

Posted 5/15/2026full-timeRemote • 🇺🇸 United StatesSenior💰 $180,000 - $240,000 per yearWebsite

Tech Stack

Tools & technologies

ElasticSearchGoJavaScriptMongoDBNode.jsPostgresSDLCSQL

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

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

Benefits

Comp & perks

Comprehensive medical and dental coverage
$50 a day food delivery budget
Equity based employment
A great culture
Learning opportunities
Unlimited vacation
12 weeks paid parental leave
$1,000 a year to go somewhere in the world that they’ve never been

ATS Keywords

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Hard Skills & Tools

Postgres SQLMongoDBElasticSearchNode.jsJavascriptGolangTypescriptsystem designarchitectureAI tools

Soft Skills

collaborationopen communicationtransparencycross-team interactioncuriosityenthusiasm

Certifications

BS in Computer ScienceMS in Computer ScienceSoftware Engineering certification