Staff/Lead Backend Engineer, Mimica

• Background in backend engineering, focusing on developing high-performance production software and scalable architectures
• Proficiency in JavaScript/TypeScript, and experience using modern frameworks and technologies (e.g., Docker, K8s) to build high-throughput, low-latency systems
• Practical experience in designing APIs and managing databases (e.g., PostgreSQL, MongoDB), with a keen eye for query optimization and efficient data storage & handling
• Firm grasp of distributed systems concepts and techniques – microservices, load balancing, caching, horizontal/vertical scaling and stateless architectures
• Commitment to upholding high engineering standards, prioritizing code quality, maintainability, reliability, and security
• Strong analytical and troubleshooting skills – methodically decomposing systems to identify bottlenecks, determine root causes and implement effective solutions
• Drive to continually develop your skills, improve team processes and reduce debt
• Fluency in English, with effective communication skills – articulating complex ideas, concepts, and trade-offs clearly
• Experience owning projects from start to finish, including speccing, architecture, development, testing, deployment, release and monitoring

Desirable

• In this role, your mission will be to enhance and scale the backend systems powering the Mimica platform (MERN stack)
• This means designing and implementing a scalable architecture, developing and optimizing backend services and APIs, improving the performance and reliability of existing components, and taking operational responsibility for what you build
• As a member of our early engineering team, you‘ll have the opportunity to shape our technical direction, processes and culture
• Contributing to architectural decisions and collaborating across teams to identify and implement product improvements
• Developing and optimizing a real-time backend service that enables multiple users to edit graph data and re-train AI models through their input
• Creating libraries and building APIs in our Node.js backend to interact with the various ML components of the system
• Diagnozing fault-tolerance and availability issues, as well as performance bottlenecks, and resolving them
• Refactoring our components and services and producing documentation for your implementations
• Providing feedback to peers through pair programming and code reviews and helping those around you to level up
• Participating in hiring and onboarding new team members; taking on end-to-end project management responsibilities as we grow

• Apply with your profile
• Video call with a Recruiter (30-45 min)
• Take-home Challenge + Team Presentation (1h)
• System Design (1h + 1h prep)
• Behavioral Interview w/ CTO + Manager (1h)