Estimated based on role seniority, company stage (Series B), and industry benchmarks. Actual compensation may vary.
Based on Web3 & AI industry compensation data. Seniority is inferred from role title keywords. Company stage affects ranges: early-stage (−15%), late-stage/public (+10%).
Senior Software Engineer, Backend
Department: Engineering | Location: Palo Alto HQ | Type: Full-time, On-site/Remote
About the Role
We're looking for a Senior Backend Engineer to help shape the core infrastructure that powers Pika's products. You'll play a key role in designing and building robust, scalable backend systems — owning everything from API design and service architecture to real-time messaging infrastructure and platform integrations. This is a high-ownership role where your decisions directly impact how millions of users experience Pika.
As a senior engineer, you'll also help raise the bar for the team — through architecture guidance, code reviews, and mentoring more junior engineers.
What You'll Do
• Architect and build scalable backend services that power Pika's web, mobile, and multi-platform products
• Own backend logic end-to-end — from database modeling to API design, infrastructure decisions, and production reliability
• Design and build real-time systems — WebSocket connections, event-driven architectures, and message queues for low-latency communication
• Scale infrastructure for throughput, latency, and reliability as Pika grows
• Support internal tooling and operational automation to improve team workflows
• Drive technical decisions — write RFCs, evaluate trade-offs, and build consensus across engineering
• Mentor engineers through code reviews, architecture guidance, and pair programming
• Debug, optimize, and future-proof our systems for scale
What We're Looking For
• 5+ years of backend engineering experience building production services at scale
• Proficiency in modern backend technologies (Node.js, Python, Go, etc.) and frameworks (Express, FastAPI, etc.)
• Strong understanding of distributed systems — event-driven architectures, message queues, service-to-service communication
• Deep knowledge of database design and operations (SQL, NoSQL, data modeling, performance tuning)
• Experience with APIs, cloud infrastructure (AWS, GCP), Kubernetes, and CI/CD workflows
• Comfort building real-time systems — WebSockets, long-polling, pub/sub patterns
• Strong debugging and observability skills — you can trace a problem across services and fix it fast
• Ownership mentality — you identify problems and ship solutions without waiting for specs
• Clear communication skills and a team-first mindset
Nice to Have
• Experience with AI/LLM integration (model orchestration, token management, prompt routing)
• Experience with multi-tenant SaaS platforms or multi-platform products
• Experience building internal tools or automation pipelines
• Previous startup experience — comfortable with ambiguity and moving fast
AI video generation and editing platform.
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