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Global brand, generalist fullstack mid-level role in metro Chennai increases applicant density.
Fullstack engineering skills are highly transferable across industries.
No explicit years but moderate breadth of required technologies implies moderately strict technical filters.
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Develop and deploy cloud-hosted distributed applications for Elsevier's Submission data platform using AWS, microservices, and modern data engineering practices.
Collaborate with business stakeholders and cross-functional Agile teams to define requirements and deliver data discovery, analytics, and AI-driven insight capabilities.
Contribute to architectural decisions and enhance delivery processes to ensure system stability, scalability, and performance.
Proficiency in Java, JavaScript/TypeScript frameworks (React, Angular, Spring Boot), and SQL with willingness to learn additional technologies.
Experience with version control systems (e.g., Git) and modern IDEs (IntelliJ, VS Code).
Familiarity with Agile methodologies (Scrum, Kanban) and test-driven development tools (Jest, Mockito).
Work Experience Required: Not explicitly mentioned in the JD
Location Requirement: Must be within commutable distance to Chennai office (hybrid work model).
Experienced with building scalable, cloud-native distributed systems integrating data lakes and data mesh architectures.
Comfortable working in Agile and DevOps environments collaborating with multiple stakeholders to deliver complex technical solutions.
Eager to learn emerging technologies like PySpark, Snowflake, Databricks, and agentic software development to expand data processing and engineering skills.