Senior Fullstack Software Engineer, AI Platform
Vanta- Full Time
- Senior (5 to 8 years)
Candidates should possess at least 1 year of professional experience in software development as a generalist, focusing on both frontend and backend technologies, and a Bachelor’s degree in computer science or a related field. They should have prior experience with React and its core principles, proficiency in TypeScript or JavaScript, and familiarity with Python, Go, or Java for backend development. Strong knowledge of data structures and algorithms, with a focus on performance optimization, is also required, along with experience with AWS and NodeJS. Familiarity with frontend build tools like Webpack and Vite, and understanding of performance and maintainability, is essential.
The Full-Stack Software Development Engineer will leverage their experience to create high-quality, scalable, and maintainable code and APIs, employing their understanding of developer tools to influence the development of user-centric features for data scientists and engineers. They will contribute to architectural decisions, participate in code and design reviews, demonstrate excellent communication skills, and work as part of a team to solve large and ambiguous problems independently. Additionally, the role requires occasional travel to the U.S. for extended durations and contributing to the future of ML tooling by incorporating personal perspectives on features and usability.
Managed platform for ML and data orchestration
Union.ai offers a managed platform for machine learning (ML) and data pipeline orchestration, with its main product, Flyte, designed to handle complex workflows using Python code. Union Cloud simplifies the deployment and management of Flyte, allowing ML engineers and data scientists to focus on their work without worrying about infrastructure. The company serves a range of clients, including large enterprises, and operates on a subscription-based model for its services. Union.ai's goal is to accelerate ML projects by automating processes involved in model development and deployment, resulting in faster time-to-market.