Scality

About Scality:

Scality solves organisations’ biggest data storage challenges — security, performance, and cost. Designed to provide the strongest form of immutability plus end-to-end cyber resilience, Scality solutions safeguard data at five core levels for unbreakable ransomware protection. Delivering utmost resilience, Scality makes storage infrastructures limitlessly scalable in all critical dimensions. The world’s most discerning companies trust Scality so they can grow faster and execute AI data-driven ideas quicker, while increasing efficiency and avoiding lock-in. Recognised as a leader by Gartner, Scality S3 object storage software is reliable, secure and sustainable.

Follow us on Twitter and LinkedIn. Visit www.scality.com and our blog.

Mission:

To design and develop a highly intuitive and user-friendly Analytics Infrastructure Platform, powered by an AI assistant, that brings our AI-driven insights to life. You will contribute for the entire web application, from the frontend interface that visualizes complex data to the backend logic that powers user interactions with the AI agent.

Responsibilities:

• Web Application Development: Contribute to the development of the user-facing web application, ensuring it is responsive, performant, and provides an excellent user experience.
• Frontend Development: Implement the user interface for visualizing data, presenting anomaly detection insights, and interacting with an AI agent with APIs for enhanced interaction. You will work closely with the Product Owner to translate user requirements into a compelling UI.
• Backend for Frontend Development: Create and maintain the necessary backend services and APIs to support the web application's functionality. This includes managing user authentication, handling API requests to the backend, processing data for frontend consumption, and managing transactional databases.
• Integration with AI Services: Collaborate with the AI Engineer to seamlessly integrate the AI agent capabilities into the web application, allowing users to access pertinent insights.
• Data Visualization: Develop effective and interactive charts to present complex data results in a clear and understandable manner.
• End-to-End Testing: Implement and maintain a comprehensive testing strategy, including unit, integration, and end-to-end tests, to ensure the quality and reliability of the application.
• User Feedback & Iteration: Work with the Product Owner and users to gather feedback and continuously iterate on the application to improve its usability and features.

Skill Sets

• Frontend Technologies: Strong proficiency in React 18+ and modern JavaScript/TypeScript. Build and optimize UI bundling systems, leveraging technologies like RSPACK (or Webpack).
• Backend Technologies: Solid experience with a backend programming language, preferably Go (Golang) or Python, TS for building REST APIs and backend-for-frontend services.
• API Consumption & Design: Experience in consuming and designing RESTful or GraphQL APIs and managing application state.
• UI/UX Principles: A good understanding of UI/UX principles and a passion for creating user-centric web applications.
• Testing Frameworks: Familiarity with frontend and backend testing frameworks
• Cloud Platforms: Experience deploying applications on cloud platforms like GCP or AWS.
• Security expertise: Deep knowledge of security principles, authentication, authorization, and data encryption.
• Soft Skills: Excellent communication and collaboration skills, a proactive attitude, strong problem-solving and debugging skills, and the ability to work effectively across different domains within the AI team and in a fast-paced, distributed, and international environment. Fluent in English (written and spoken).

Additional Expertise

• SaaS Application Experience: Professional experience working on and contributing to Software as a Service (SaaS) applications.
• Interest in AI & LLM Agentic Applications: A strong interest in AI with hands-on experience or a keen interest in building AI agentic applications & Generative UI using Large Language Models (LLMs) is a significant plus.
• Proficiency with AI Coding Assistants: Demonstrated proficiency in leveraging the latest AI coding assistants and tools to enhance development efficiency and code quality.
• Bonus: Distributed Systems Knowledge: Understanding of concepts related to distributed computing, consensus algorithms, and fault tolerance.