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Tier-1 brand, mid-level generalist title, metro location, and broad full-stack plus data skills.
Full-stack and data-processing skills transfer across industries but require platform-specific data experience.
Explicit 5+ years and required full-stack plus Java, TypeScript, React, Databricks/Spark experience.
Design, build, and maintain scalable full-stack applications including frontend, backend, APIs, and data-processing layers using Java/Spring Boot, TypeScript, React, and Databricks/Spark.
Contribute to architecture and system design for a next-generation experimentation platform, ensuring high engineering standards and operational excellence.
Collaborate cross-functionally to deliver scalable, data-intensive, analytics-driven applications that support business experimentation and data-driven decision-making globally.
5+ years of experience as a full-stack Software Engineer.
Proficient in Java/Spring Boot, TypeScript, and React; experience or familiarity with Databricks, Spark, or PySpark is highly desired.
Foundational understanding of software engineering principles including object-oriented programming, API design, and scalable system design.
Work Experience Required: 5+ years; Notice Period: Not explicitly mentioned in the JD.
Experienced full-stack engineer with strong skills in building scalable, data-intensive applications across application, service, and data-processing layers.
Comfortable working in fast-paced, agile environments and collaborating closely across product, data engineering, and QA teams.
Demonstrates ability to mentor peers, drive technical improvements, and contribute to a growth-oriented engineering culture focused on analytics and experimentation solutions.