Full-Stack Engineer

Location

Worldwide

Posted

42 days ago

Salary

0

Seniority

Mid Level

Job Description

Full-Stack Engineer

Sisense

Role Description As a Mid-Level Full-Stack Engineer (Node/React), you will play a key role in building and enhancing the core platform that powers embedded AI analytics. You will work across the full stack — from backend services and APIs to modern frontend interfaces — helping to deliver high-performance, scalable, and delightful experiences for both developers and end users. This is a hands-on role with real ownership, where you’ll contribute to features that directly impact how customers embed intelligence into their products. Key Responsibilities - Develop and maintain full-stack features using Node.js (backend) and React (frontend). - Build and optimize scalable APIs and backend services that power our embedded analytics capabilities. - Create responsive, performant, and user-friendly frontend interfaces. - Collaborate closely with Product, Design, and other Engineering teams to deliver high-quality solutions. - Participate in code reviews, architectural discussions, and technical decision-making. - Contribute to improving platform performance, reliability, and developer experience. - Help implement features related to Sisense Intelligence (agentic AI, conversational interfaces, predictive analytics). Qualifications - 2-4 years of full-stack development experience with strong proficiency in Node.js and React. - Solid understanding of modern web technologies, REST/GraphQL APIs, and frontend architecture. - Strong problem-solving skills and ability to break down complex requirements into clean, maintainable code. - Comfortable working independently in a remote-first environment with high ownership. - Fluent English (Ukrainian or Russian is a plus). - Passion for best coding practices, user experience, and using AI tools to enhance development responsibly. Nice to Have - Experience with TypeScript, Next.js, or modern frontend frameworks. - Experience building scalable backend services and responsive user interfaces. - 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. Benefits - High-impact role working on cutting-edge embedded AI analytics technology. - Join a talented global engineering team. - Enjoy competitive compensation and meaningful equity. - Opportunity to grow with one of the most innovative players in the analytics space.

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