The role
Job description
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
Qualifications
- Bachelor's or Master's degree in Engineering from a reputed institution.
- 3–5 years of professional experience in JavaScript and Web technologies in an enterprise software company or product organisation. What's in It for You
- Work at the intersection of deep PLM domain expertise and AI-augmented engineering; a rare combination that will define the highest-value development of the decade.
- Contribute to products used by global industry leaders across 12 sectors, directly influencing how major manufacturers design and build the products we all use.
- Grow in an environment that values engineering craft, domain curiosity, and AI fluency equally; not just raw coding.
- Collaborate with engineering colleagues across the globe as part of a world-class PLM organization.
- Be part of a team actively shaping how AI is integrated into enterprise product engineering - from the inside.
Inclusion statement
As a game-changer in sustainable technology and innovation, Dassault Systèmes is striving to build more inclusive and diverse teams across the globe. We believe that our people are our number one asset and we want all employees to feel empowered to bring their whole selves to work every day. It is our goal that our people feel a sense of pride and a passion for belonging. As a company leading change, it’s our responsibility to foster opportunities for all people to participate in a harmonized Workforce of the Future.