Founding Backend Engineer

Build our agentic services platform from zero to one. Own backend architecture from initial concept through production deployment to enterprise scale.

Responsibilities

• Architect and build core backend infrastructure using Python and FastAPI
• Design and optimize PostgreSQL databases for production workloads at scale
• Build complex workflow orchestration systems for agentic services and automation
• Implement caching strategies with Redis for high-performance data access
• Build monitoring, logging, and alerting systems with tools like Prometheus and Grafana
• Create and maintain CI/CD pipelines for rapid, reliable deployments
• Containerize services with Docker and orchestrate with Kubernetes
• Work independently with minimal direction in an ambiguous, fast-paced environment
• Establish engineering standards, security practices, and technical culture
• Own systems end-to-end from design through deployment, scaling, and incident response

Requirements

• 7+ years building production backend systems from concept to scaled deployment
• Expert-level Python with significant FastAPI experience in production
• Deep PostgreSQL proficiency: complex queries, optimization, schema design, performance tuning
• Production experience with Redis for caching, session management, and real-time data
• Hands-on experience with Docker, Kubernetes, and cloud platforms (AWS/GCP/Azure)
• Proven track record implementing CI/CD pipelines and deployment automation
• Experience with monitoring/observability tools and maintaining system reliability
• Thrives with autonomy, minimal direction, and ambiguous early-stage problems
• Strong system design, security, and operational excellence instincts
• Nice to Have
• Backend infrastructure for AI/ML applications or agentic systems
• Experience building workflow products or workflow orchestration platforms
• Managing headless browsers (Playwright, Puppeteer) at scale in production
• Experience with Neo4j or other graph databases for complex relationship modeling
• Track record scaling systems from hundreds to millions of requests
• Previous startup experience shipping rapidly and iterating based on feedback