Senior Backend Engineer, Recommendations

Responsibilities Product Ownership : Collaborate, build, and lead key components of our Raya backend services 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 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 Golang Proven experience in building and scaling backend systems in production at a startup or fast-moving environment Production recommendation systems and/or machine learning model deployment/integration experience Enthusiasm around new AI tools and 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