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Tier-1 brand, metro location, generalist fullstack role with broad skillset increases candidate competition.
Core fullstack skills are transferable, though data-platform tooling increases domain specificity.
Moderate technical expectations and flexible stack requirements create medium strictness.
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Design, develop, and deploy cloud-hosted distributed applications supporting data ingestion, processing, storage, and analytics in Elsevier's Submission platform.
Collaborate with business stakeholders and cross-functional Agile and DevOps teams to clarify requirements and improve delivery processes.
Contribute to architectural decisions ensuring system stability, performance, and scalability leveraging AWS, microservices, event-driven architecture, and modern data engineering practices.
Proficiency in Java, JavaScript/TypeScript frameworks (React, Angular, Spring Boot), and SQL, with willingness to learn additional technologies.
Experience using Git version control system and modern IDEs like IntelliJ or VS Code.
Familiarity with test-driven development and Agile methodologies (Scrum, Kanban).
Work Experience Required: Not explicitly mentioned in the JD; Must be based within commutable distance to Chennai office due to hybrid work requirement.
Experienced full-stack developer comfortable working on scalable distributed systems and cloud-native architectures.
Able to work effectively in Agile environments and collaborate cross-functionally to deliver high-quality software products.
Open to learning and working with emerging data technologies and AI-assisted development tools in a fast-moving technical and scientific domain.