Mimica

Benefits:

• Flexible schedules & location

• Competitive share options

• Pension & retirement options

• Health, dental & vision insurance

• Mental health support & services

Experience Requirements:

• Background in backend engineering, focusing on developing high-performance production software and scalable architectures.

• Proficiency in JavaScript/TypeScript, and a willingness to utilize various 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.

• 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.

Other Requirements:

• Drive to continually develop your skills, improve team processes and reduce debt.

• Experience in a product-first company.

• 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.

• Firm grasp of distributed systems concepts and techniques – microservices, load balancing, caching, horizontal/vertical scaling and stateless architectures.

• Working knowledge of secure software design principles and familiarity with secure communication protocols and data protection mechanisms.

• Experience working within a high-impact, high-ambiguity startup environment – delivering value quickly and iteratively.

• Active interest in AI, automation, or related fields

Responsibilities:

• 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 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.