joist-ai - Staff Software Engineer, Backend

• 8+ years of experience in backend software engineering, with a proven track record of architectural leadership, system design, and technical team leadership. • Backend & API Mastery: Deep expertise in designing distributed systems, modern APIs (REST, GraphQL), microservices or modular monoliths, and complex data models. • Polyglot Proficiency: Strong programming skills in modern backend languages (such as Python, Go, or similar) with the architectural wisdom to choose the right tool and design pattern for the job. • Mentorship Mindset: Demonstrated experience leading, training, and leveling up mid-level and junior engineers. You possess the emotional intelligence to lead with empathy and the communication skills to explain complex concepts simply. • Cloud & Infrastructure Fluency: Solid understanding of public cloud environments, containerization, and how to architect cost-effective systems that leverage cloud-native services. • Database Expertise: Strong grasp of modern data storage and processing, including relational databases, caching layers, and asynchronous messaging/event queues. • EXPERIENCE WE’D BE PARTICULARLY EXCITED ABOUT • Scaling B2B SaaS: Proven experience navigating the technical and organizational challenges of scaling a high-growth SaaS platform from early traction to enterprise scale. • AI/LLM Integration: Experience architecting systems that seamlessly integrate and serve ML models, LLMs, or other computationally heavy, data-intensive workloads. • Event-Driven Systems: Deep knowledge of event-driven architectures, distributed tracing, and complex asynchronous processing patterns. • Attributes: Exceptional problem-solving skills, a pragmatic approach to technical debt, high emotional intelligence, and excellent written and verbal communication. • Education: Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent practical experience). • You love experimenting with new architectural patterns and evaluating emerging backend technologies. • You have experience or interest in machine learning and AI system integrations. • You have an understanding of the AEC (Architecture, Engineering, and Construction) industry, RevOps, or B2B SaaS platform ecosystems. • We conduct a rigorous interview process based on integrity, talent, and drive. We trust our teammates from day one and move quickly to evaluate your fit for the role. The entire interview process typically takes two weeks. Here's what to expect: • 45-minute Python proficiency / agentic coding proficiency test. 2 problems. 1 to be coded by hand. Other using Gen AI. • 60 min project, deep dive into the work they have done. A short presentation followed by a Q&A. Presentation should conclude between 20-25 min. • 45 min interview on Gen AI / LLM fundamentals. • 30 min culture fit.