Full-Stack Engineer
Indexed description
With the recent launch of Sisense Intelligence (Intelligence Assistant, MCP server, Managed LLM), we are pushing the boundaries of embedded analytics and making AI-driven insights accessible at scale.
The Role
As a Full-Stack Engineer, you will play a key role in building and enhancing the core platform that powers embedded AI analytics. You will work across the stack — from backend services and APIs to frontend interfaces — helping to deliver delightful, high-performance experiences for both developers and end users.
This is a hands-on role where you’ll contribute to features that directly impact how customers embed intelligence into their products, with a strong focus on scalability, developer experience, and innovation.
Key Responsibilities
- Develop and maintain full-stack features using Node.js (backend) and React (frontend).
- Build and optimize APIs and services that power our embedded analytics capabilities.
- Collaborate closely with Product, Design, and other Engineering teams to deliver high-quality, user-centric solutions.
- Participate in code reviews, architectural discussions, and technical decision-making.
- Contribute to improving platform performance, reliability, and developer experience.
- Help shape and implement features related to Sisense Intelligence (agentic AI, conversational interfaces, predictive analytics).
- Write clean, maintainable, and well-tested code while following best practices.
- 2-3 years of full-stack development experience with a strong focus on Node.js and React.
- Understanding of modern web technologies, REST/GraphQL APIs, and frontend architecture.
- Strong problem-solving skills and ability to break down complex requirements into actionable tasks.
- Comfortable working in a fast-paced, collaborative environment with high ownership.
- Fluent English (Hebrew is a plus).
- Passion for best coding practices, user experience, and using AI tools to enhance development responsibly.
- Experience building scalable backend services and responsive, performant user interfaces.
- Experience with TypeScript, Next.js, or modern frontend frameworks.
- Exposure to cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
- Background in data-intensive applications, BI/analytics tools, or developer platforms.
- Familiarity with AI/ML concepts or building AI-powered user experiences.
If you’re a motivated full-stack engineer who loves building great products and wants to work on AI-powered data solutions, we’d love to hear from you.
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