Senior Backend Engineer (Data Core)

• 1. Keep creator data flowing at massive scale
• You’ll build and evolve the systems that collect and maintain 400M+ creator profiles across Instagram, TikTok, and YouTube—keeping billions of data points fresh enough for search, analytics, APIs, and customer-facing products
• 1. Make collection resilient when the outside world isn’t
• You’ll design services that handle third-party API instability, rate limits, provider outages, platform changes, and partial failures without turning every disruption into a customer incident
• 1. Improve the economics of collection
• At this scale, every request, proxy call, retry, storage decision, and compute cycle matters. You’ll improve coverage and freshness while keeping the system financially sustainable
• 1. Own production, not just the code
• You’ll shape the problem, design the architecture, write and review the code, ship it, observe it, and improve it. You’ll build the monitoring and operational safeguards that catch gaps and regressions before customers do
• Monday. A social platform has changed its behaviour overnight. Collection success has dropped, but only for part of the traffic. You trace the failure pattern, protect downstream freshness, and design a resilient fix rather than a brittle patch
• Tuesday. Deep-focus time. You redesign part of the subscription system that decides which creators to collect, when, and how often—balancing customer value against request and compute cost
• Wednesday. You pair with a Data Search engineer on an indexing dependency. Together, you agree on a cleaner contract that improves freshness without coupling the two teams’ systems
• Thursday. You review a new request-routing approach across proxy providers. You model throughput, failure modes, and unit economics before shipping a small production experiment
• Friday. An observability review reveals a slow coverage regression that existing alerts missed. You improve the data-quality checks so the team catches the next one before it reaches customers
• We keep meetings purposeful and protect time for deep work. You’ll have a short standup, close collaboration when it helps, and plenty of space to design, build, harden, and operate systems

Benefits

• Flexible working hours ⏱
• Unlimited paid vacation time 🌴
• Fully remote working 🏠
• Personal development 🧠
• Ownership 💡- Communicated clearly across teams. You can explain tradeoffs, give direct feedback, and collaborate without creating unnecessary process
• Worked autonomously on ambiguous problems. You know how to gather requirements, ask useful questions, and make progress without waiting for a perfectly specified ticket
• Worked with proxy management or request routing. You understand the practical challenges of routing high-volume traffic and navigating anti-bot systems responsibly at scale
• Built large-scale backend or data systems. You have solid experience with high-volume services where reliability, throughput, latency, and cost all matter
• Shipped systems from concept to production. You’ve owned scoping, architecture, implementation, release, operation, and iteration—not just one layer of the solution
• Taken operational ownership. You care about observability, alerting, runbooks, and what happens after deployment—not just whether the code merged
• Bonus points if you’ve worked with social-media APIs, data-quality frameworks, large-scale collection systems, or freshness and coverage monitoring. Curiosity about the creator economy helps too, but we’ll get you up to speed
• Built resilient integrations. You’ve worked with third-party APIs or other external dependencies that are rate-limited, unstable, or liable to change
• Designed distributed systems. You can reason clearly about partial failure, retries, idempotency, backpressure, scaling, and operational tradeoffs- We move quickly and can complete the process in under a week:
• Intro chat
• Coding interview
• System design interview
• Team interview
• Culture and alignment conversation with our CEO, Avery Schrader