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Senior Software Engineer, Backend

Pika · Palo Alto

Software DevelopmentSenior LevelQuick applyfull-time2 days ago

About The Role

SENIOR SOFTWARE ENGINEER, BACKEND

ABOUT THE ROLE

We're looking for a Senior Backend Engineer with deep experience in agentic systems to help shape the core infrastructure powering Pika's products. You will play a key role in designing and building robust, scalable backend systems and agentic platforms—owning everything from API design and service architecture to real-time messaging infrastructure and agent orchestration. 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 junior engineers.

WHAT YOU'LL DO

  • Architect and build scalable backend and agentic services for Pika's web, mobile, and multi-platform products
  • Own backend logic end-to-end—from database modeling to API design, infrastructure, and production reliability
  • Design and build real-time systems—WebSocket connections, event-driven architectures, message queues, and agent orchestration
  • Scale agentic and backend infrastructure for throughput, latency, and reliability
  • 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 agentic and backend systems for scale

WHAT WE'RE LOOKING FOR

  • 5+ years of backend engineering experience building production services at scale, including agentic systems or platforms
  • Proven experience architecting, developing, and scaling agentic solutions, multi-agent systems, or LLM-based orchestration platforms
  • Proficiency in modern backend technologies (Node.js, Python, Go, etc.) and frameworks (Express, FastAPI, etc.)
  • Strong understanding of distributed and agentic systems—event-driven architectures, agent orchestration, 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 agentic pipelines 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

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