
501 - 1000 employees
Founded 2013
⚡ Productivity
🏢 Enterprise
☁️ SaaS
Productivity • Enterprise • SaaS
Notion is a versatile productivity platform designed to help individuals and teams organize their knowledge, manage projects, and collaborate efficiently. It offers a range of integrated features such as AI assistants, centralized wikis, project management tools, calendars, and integrations with other software. Notion provides customizable templates and collaborative tools for various use cases, including document creation, note-taking, knowledge management, and task management. It caters to a diverse audience, from personal users and students to businesses of all sizes, including startups and enterprises. With a focus on personalized workflows and AI-assisted functionalities, Notion aims to enhance productivity and streamline information management.
🔥 14 hours ago
AWS
Azure
Cloud
Distributed Systems
Docker
Google Cloud Platform
Java
JavaScript
Kubernetes
Linux
Node.js
NoSQL
Python
React
SQL
TypeScript
Go
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501 - 1000 employees
Founded 2013
⚡ Productivity
🏢 Enterprise
☁️ SaaS
Productivity • Enterprise • SaaS
Notion is a versatile productivity platform designed to help individuals and teams organize their knowledge, manage projects, and collaborate efficiently. It offers a range of integrated features such as AI assistants, centralized wikis, project management tools, calendars, and integrations with other software. Notion provides customizable templates and collaborative tools for various use cases, including document creation, note-taking, knowledge management, and task management. It caters to a diverse audience, from personal users and students to businesses of all sizes, including startups and enterprises. With a focus on personalized workflows and AI-assisted functionalities, Notion aims to enhance productivity and streamline information management.
• Own cloud features end-to-end, including backend services, frontend user interfaces, database schema design, automated testing, CI/CD deployment, and post-release support • Utilize advanced AI coding assistants and AI-driven workflows to design, code, debug, and deliver robust software • Build and maintain scalable APIs and responsive, intuitive user interfaces • Work with SQL/NoSQL databases and public cloud provider services to ensure high availability and optimal performance • Design, write, and execute unit, integration, and end-to-end test suites • Participate in monitoring, troubleshooting, and supporting delivered features in cloud environments • Collaborate with Product and UX teams to turn concepts into user-friendly customer experiences • Lead sophisticated projects from requirements and design through implementation, testing, and production delivery
• Hands-on experience and comfort using AI coding tools (e.g., Claude Code, Cursor, GitHub Copilot) to accelerate coding, debugging, refactoring, and test creation • Strong practical experience in both frontend (e.g., React, JavaScript/TypeScript) and backend development (e.g., Go, Node.js, Python, or Java) • Familiarity with at least one major public cloud platform (AWS, GCP, or Azure) • Familiarity with relational and NoSQL databases • Excellent written and verbal English communication skills • Ability to document solutions and collaborate effectively • Strong problem-solving ability • Autonomous drive to research, troubleshoot, and see tasks through to production • Familiarity with distributed systems, NoSQL databases, or Database-as-a-Service (DBaaS) architecture • Experience with Linux environments, containerization (Docker/Kubernetes), and modern CI/CD pipelines • Demonstrated history of building and shipping end-to-end personal projects or open-source contributions using AI-first workflows
Apply Now🕒 May 20
Applied AI Engineer developing and optimizing large neural network models at an AI company pioneering enterprise decision-making. Collaborating with ML researchers and ensuring model performance in production.
Python
Rust