Founding Backend Engineer

Founding Backend Engineer

About Company

Simplify is building the AI-enabled infrastructure to power the next generation of hiring – reimagining how people discover and secure their next career opportunity. We believe that everyone deserves an all-star talent agent helping them plan, manage, and accomplish their career goals, no matter their background, location, or education. Through our flagship product, Copilot, we've helped over 1M+ job seekers discover and apply to over 100 million jobs - and we've done this with a tight-knit team of just 7 people. We're rapidly expanding on both the candidate and recruiter fronts, focused on our vision of building a common app and personal AI agent for your career. Backed by top-tier investors including Craft and YCombinator, we're a mission-driven team working to democratize the job search and disrupt the way hiring works today.

Responsibilities

• Design, develop, and maintain scalable backend services to help us serve millions of users daily
• Work closely with the product team to launch new features
• Collaborate with frontend engineers to design and implement RESTful APIs and shared API client libraries
• Architect and manage deployment of our cloud infrastructure on GCP
• Ensure high performance, reliability, and security of backend systems

Requirements

• You consider yourself a Pythonista and stay at the forefront of Python tooling such as uv, ruff, mypy, etc.
• You have equivalent project or work experience in scaffolding and scaling backend services in Python
• You are knowledgeable in PostgreSQL systems and are familiar with tooling in the Postgres ecosystem, such as PGBouncer or PGVector
• You are familiar with Public Cloud services, specifically GCP
• You have a strong understanding with profiling and optimizing route performance
• You have a sharp eye for developer tooling and are well versed in scripting
• Experience with CI/CD pipelines and DevOps practices
• Comfortability using bash/scripting as well as Docker and Redis

Desirable

• Experience with microservices architecture
• You have equivalent project or work experience in Generative AI projects and have a general understanding of agentic systems and frameworks
• Contributions to open-source projects (we publish and maintain our own libraries)
• Familiarity with machine learning frameworks and integration
• You have experience with Node.js and Typescript