PIKA

Senior Software Engineer, BackendAbout 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