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

Originally posted on Himalayas