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
