Role: Full Stack Engineer with great React, TypeScript and Node.js skills + basic Python knowledge. It’s crucial that a candidate has experience building scalable backends (e.g in Node) and understands the backend and problem-solving.
Company: Open-source database for AI. Powers apps with scalable search, advanced retrieval, and interactive exploration of datasets. it’s an easily deployable embedded database with native object storage integration, seamlessly fitting into existing data and AI toolchains, scaling efficiently even to zero usage.
Team and tasks:
• Expertise in user experience design, data management, visualization techniques, and software engineering principles to effectively develop a comprehensive system for exploring and managing multi-modal data.
• Close communication with founders and designers to optimize user experience for customers.
• Building scalable backends for the app Cloud that offer a serverless experience for billion-scale datasets
• Fast pace with a stellar team of core contributors to incredible projects like pandas, arrow, delta-rs, and Hadoop, to define the next-generation data system for AI
• Proactive work in applying better architecture and best practices within the company.
• Tech stack: Typescript, React, Python, Rust, AWS / Google Cloud / Azure / K8s
Candidate requirements:
• At least 5 years of experience in developing full-stack applications.
• A thorough understanding of Typescript, React/Next.js/Vercel/Tailwind, HTML, CSS, and can independently work with designers to build stunning applications.
• Experience building scalable server-side systems in Python, NodeJS, Ruby, or Go.
• Obsessed with giving users the best end-to-end experience possible
• Ability to offer simplicity, code quality and performance
• Ability to work in a small, fast-paced, high-caliber team with a lot of autonomy
• Great experience working with open-source, contributed to other OSS Typescript, Python, Go projects.
• Familiar with cloud-native technology, such as K8s, AWS lambda, Google Cloud Function.
• Experience with large-scale and high-traffic systems.
• Experience with CI/CD and DevOps.
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