As a Founding Backend Engineer at Cenna, you will play a pivotal role in shaping our cutting-edge agentic services platform.
You will design, build, and deploy core backend infrastructure and services, driving the technical vision of our AI-powered products from inception to scale.
Responsibilities
- Architect and develop scalable backend systems and APIs for our agentic services platform in production environments
- Build robust, secure backend services that power platform functionality at scale
- Design and optimize database schemas and data pipelines for production workloads
- Collaborate with cross-functional teams to define system architecture and AI-driven solution standards
- Ensure reliability, performance, and security of production backend systems
- Conduct code reviews, mentor junior engineers, and promote engineering best practices
- Partner with product management to translate requirements into impactful production-ready solutions
- Implement monitoring, logging, and alerting for production backend services
Requirements
- 5+ years of backend development experience with proven track record of building and maintaining production-level systems
- Expertise in Python and backend frameworks like FastAPI, Django, or Flask deployed in production environments
- Strong understanding of secure coding practices and application security in production systems
- Experience with SQL and NoSQL database design, optimization, and management at scale
- Demonstrated experience designing, deploying, and operating backend services in production
- Proficiency in RESTful API design and implementation for production applications
- Experience with monitoring, debugging, and optimizing production backend systems
- Knowledge of handling production incidents, system reliability, and performance optimization
- Exceptional problem-solving skills with ability to troubleshoot production issues under pressure
- Strong communication and teamwork abilities
Nice to Have
- Experience building production backend systems for AI/ML technologies or agentic systems
- Familiarity with cybersecurity tools or frameworks in production environments
- Proficiency in containerization (Docker, Kubernetes) and cloud infrastructure (AWS, GCP, Azure) for production deployments
- Knowledge of CI/CD pipelines and DevOps practices for production backend services
- Experience with message queues, caching systems, and distributed systems in production
- Track record of scaling backend systems and handling high-traffic production workloads
- Contributions to open-source backend projects used in production
- Prior experience thriving in a fast-paced startup environment shipping production features rapidly