Mimica is an AI-powered platform that helps businesses discover and deploy automation.
Its flagship product, Mapper, analyzes employee clicks and keystrokes to create process maps and identify automation opportunities.
Another product, Miner, prioritizes these opportunities based on ROI.
Mimica boasts impressive results, including significant time and cost savings for its enterprise clients.
The company's culture is centered around innovation, continuous growth, and work-life harmony.
Mimica uses AI to analyze employee activity, map business processes, and identify automation opportunities, accelerating RPA deployments and boosting efficiency.
Job 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.Diagnosing fault-tolerance and availability issues, as well as performance bottlenecks, and resolving them.Refactoring our components and services and producing documentation for your implementations.Minimum Requirements:Background in backend engineering, focusing on developing high-performance production software and scalable architectures.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.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.
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