Software Engineer - JavaScript

Software Engineer - JavaScript Dassault Systemes' ENOVIA is the world's leading solution for collaborative product development and lifecycle management. Deployed by global leaders such as Honda, Toyota, Boeing, and Airbus — across 12 industries spanning mobility, aerospace, life sciences, and infrastructure — it manages the complete journey of a product from concept to end-of-life. The ENOVIA India R&D team designs and builds the next generation of PLM solutions on cloud. Our products directly influence how the world's manufacturers design, validate, change, and realize complex products. We work in an AI-augmented engineering model: leverage AI tools to accelerate delivery; human engineers provide the domain judgment, architectural oversight, and quality validation that AI cannot replace. As a JavaScript Developer in ENOVIA India, you will design, develop, and maintain web applications and features that are central to how the world's leading organizations manage their product lifecycle. Working closely with Application and Product Managers, you will build consistent, high-quality applications by creating reusable components using standard JavaScript (ES6+), HTML5, and CSS3. You will leverage AI coding assistants to accelerate development of UX components and features while applying your own judgment to validate, refine, and extend the output. You should understand where AI assistance is genuinely useful in JavaScript development and where human review is irreplaceable to validate generated output for correctness, cross-browser compatibility, and security. You will also collaborate with stakeholders to resolve dependencies, break down work, and contribute to functional and performance tests. Role Description & Responsibilities • Define, develop, and maintain ENOVIA web applications' features and components, with a focus on performance, accessibility, reusability and cross-browser correctness. • As part of an AI-enabled SDLC, leverage AI coding assistants for development, code reviews, and test case generation, while ensuring the quality and safety of AI-generated output. • Build consistent, reusable JavaScript components using standard vanilla JavaScript (ES6+), HTML5, and CSS3 • Collaborate with Product Managers to translate product requirements into implementations. • Resolve technical issues through debugging, research, and investigation — creating new and innovative ways to improve platform applications • Debug complex issues across a distributed team environment; work closely with customer-facing teams on production issues. • Mentor junior engineers; share knowledge on both JavaScript best practices and effective AI tool workflows. PLM / Domain Skills • Development exposure to ENOVIA or equivalent PLM platforms • Awareness of PLM domain concepts: BOM, Engineering Change Management, Product Configuration, Document Management • Industry exposure: automotive, aerospace, manufacturing, life sciences, infrastructure (nice to have) AI Skills • Demonstrated use of AI coding assistants (Copilot, Cursor, ChatGPT) in real workflow • Critical review of AI-generated code: logic errors, security risks, XSS vulnerabilities, incorrect async patterns, edge cases, style • Effective prompt writing and iterative refinement of AI output • AI for non-code tasks: requirement drafting, test case generation, documentation Software Engineering Skills • CS fundamentals: data structures, algorithms, OOD, design patterns — applied to applications in production • Strong system thinking skills to design and build responsive, scalable, and maintainable JavaScript applications • Understanding of browser security fundamentals • Strong debugging and root-cause analysis across distributed codebases • Understanding of Cloud environments and CI/CD pipelines • DevOps practices and basic SQL JavaScript Skills • Strong JavaScript proficiency — ES6 and later: Promises, async/await, modules, classes, destructuring, event handling, DOM manipulation and AMD (require.js). • Knowledge of Java, JUnit, or server-side integration patterns for collaborating effectively with backend teams • Good knowledge of Client-Server architectures and RESTful API design Collaboration & Soft Skills • Good team spirit and interpersonal skills. • Excellent written, Verbal, Communication skills, Analytical skills & Business thinking. • Adaptability, ability to learn faster, to be independent, responsible and diligent