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Consumer Web • Software • Travel
Design, implement, and maintain scalable, secure, high-performance backend systems and public-facing APIs. Collaborate with Product and Data Science teams, lead initiatives improving efficiency and system performance, and support customer satisfaction. Work may involve distributed systems, pricing engines, identity management, authentication, authorization, API versioning, deprecation, and rate limiting.
Top Skills:
APIsAuth0AWSKotlinNode.jsTypescript
Fintech • Payments • Real Estate • Software • Financial Services
Design, build, and scale backend services and integrations for payment, billing, identity, and partner systems. Own API scoping, design, implementation, deployment, and production operations with minimal oversight. Build fault-tolerant systems, data pipelines, and scalable architectures while collaborating with product, design, engineering, and external partners. Contribute to reliability monitoring, observability, automation, technical standards, and mentoring in a distributed team.
Top Skills:
Aurora RdsAWSCdkCi/CdDatadogDockerDynamoDBEksElasticacheGitGithub ActionsGradleJavaJunitJvmMessage QueuesRest ApisService-Oriented ArchitectureSnowflakeSpringTerraform
Big Data • Fintech • Mobile • Payments • Financial Services
Build and scale backend data platforms and services for real-time loan origination and financial reporting. Lead quarterly delivery, guide engineers, define technical plans, collaborate with product and design partners, improve reliability and operational practices, monitor service metrics, participate in on-call support, uphold engineering quality standards, and mentor team members. The role requires developing highly available distributed systems and scalable data pipelines using technologies such as Python, Kotlin, AWS, MySQL, Kubernetes, Spark, and Airflow.
Top Skills:
AirflowAWSKotlinKubernetesMySQLPythonSpark
Senior Backend Engineers at Raya love backend engineering and have been recognized as leaders in past roles! You are excited to work in a Node.js codebase. The ideal candidate will have had 6+ years of experience and grown within their organization, demonstrating both results and leadership. You will join the backend team at an impactful time of high growth.
We prioritize learning and teamwork and love giving people the opportunity to champion solutions to big challenges and grow into better versions of themselves. A great candidate is excited to support the backend team's initiatives in messaging, connecting, and location based map initiatives. They are diligent and they design software architecture in a scalable manner. Finally, they believe in Raya’s vision, which is to enrich lives by fostering relationships through quality, in person interactions.
We offer 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, and we pay all employees $1,000 a year to go somewhere in the world that they’ve never been because of our values of human connection, empathy, and curiosity.
Responsibilities
- 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
Qualifications
- 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
What Sets You Apart
- Visionary: You think beyond the present, anticipating future technological trends and their implications on the Raya Community.
- Empathetic Leader: You naturally resonate with colleagues, users, and collaborative teams, fostering a culture of understanding and innovation
- Growth-oriented: You possess a perpetual learner's mindset, open to challenges, and always seeking opportunities to expand your technical horizons
- Impact-driven: With a knack for identifying the 'big picture', you prioritize tasks that maximize impact, aligning with Raya’s overarching goals
- Productivity-obsessed: You value tools, workflows, and habits that maximize team velocity.
- Bias toward shipping and iteration: You're able to build quickly, learn, and refine in short cycles
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What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
