Senior Backend Engineer

About the role

As a Senior Backend Engineer, you will design, implement, and evolve product capabilities while solving high-scope backend problems and influencing the technical and product direction of our teams. You will move beyond "assigned work" to actively improve the quality, reliability, and performance of our systems. You will work across product, frontend, infrastructure, data, and security boundaries, making sound architectural trade-offs, communicating complex ideas clearly in an asynchronous environment, and helping define the standards for a high-scale, global product.

Why you’ll love this role

• High Impact: You aren't just shipping features; you are shaping the architecture of a global platform used by millions.
• Technical Agency: You will influence team objectives, technical direction, and long-range goals, helping us solve problems of high scope and complexity.
• Innovative Culture: You will get to experiment with and integrate agentic AI into production engineering workflows, moving beyond simple prompt engineering to build resilient, AI-assisted systems.
• Autonomy: You will thrive in our remote-first, asynchronous organization, where clear written communication and self-direction are the pillars of success.
• User-Centric Collaboration: You’ll partner closely with PMs and designers to shape requirements, ensuring every technical decision delivers genuine value to our users.

What you’ll do

• Drive Technical Direction: Design and ship moderate to complex backend features with minimal guidance, making pragmatic choices between modular-monolith code, shared components, or independently operated services.
• Raise the Bar: Advocate for product quality, security, availability, and performance. You will define backend standards for style, maintainability, testing, APIs, and operational readiness.
• Mentor & Lead: Mentor associate and intermediate engineers, remove technical blockers, and improve team delivery practices through code and design reviews.
• Operational Excellence: Diagnose and prevent performance/reliability issues at scale. Participate in incident response and act as a technical owner where appropriate.
• AI Integration: Use AI in production engineering work to improve outcomes, evaluate its effectiveness, and coach others in applying AI effectively.