Software Engineer - JAVA

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 Java Developer in ENOVIA R&D India, you will design, develop, and maintain server-side Java components that power the ENOVIA applications — that are central to how the world's leading organizations manage their product lifecycle. You will work on backend services and data modeling, where reliability, scalability, and data integrity are foundational requirements. You will leverage AI coding assistants to accelerate development of Java services while applying disciplined review to validate generated output for correctness, security, and compliance with design standards. You should understand where AI assistance is genuinely useful in core Java development, and where human precision is irreplaceable.

Role Description & Responsibilities

• Define, develop, and maintain software modules and features with a focus on reliability, scalability, and data integrity.

• 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.

• 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.

• Work closely with customers on real-time production issues, providing timely diagnosis and resolution.

• Collaborate effectively with a geographically distributed team.

• Mentor and guide junior engineers; contribute to hiring and team-building efforts. 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, 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 debugging and root-cause analysis across distributed codebases

• Good knowledge of DevOps and Cloud technologies; ability to write basic SQL queries.

• Strong problem-solving skills and ability to troubleshoot applications and environment issues.

JAVA Skills

• Strong core Java proficiency — Java 11 or later; solid understanding of the Java memory model, garbage collection, and JVM behavior.

• Experience with Java/J2EE, JMS, Message Broker, and Java stack technologies in a professional product or enterprise context.

• Strong system thinking skills to design and build scalable, reliable, and maintainable Java-based backend systems

• 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

• B.Tech / M.Tech in Computer Sciences, or a related discipline from a reputed institution with a good academic track record.

• 7 to 10 years of hands-on professional experience with design and development of complex Java software products, with exposure to unit testing tools.

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.