Senior Full Stack Developer

Cleint is seeking a Senior Full Stack Developer with strong hands-on coding expertise and experience in retail or eCommerce platforms. The role requires deep knowledge of microservices, frontend frameworks, cloud platforms, and high-volume data processing. The ideal candidate will own the full development lifecycle, collaborate with stakeholders, and drive scalable, high-performance solutions.


Key Responsibilities:
Lead end-to-end application development across frontend and backend.
Work with cross-functional teams (Product, UX, QA) to translate business needs into technical solutions.
Ensure high-performance, scalable, and secure applications.
Architect and implement microservices-based solutions using Java/Spring Boot.
Develop and optimize ReactJS frontend applications.
Design and maintain NoSQL (MongoDB, Cassandra) & RDBMS (Oracle, MySQL) databases.
Implement Kafka event processing for real-time data handling.
Integrate Java-based CMS platforms (Contentful, Contentstack, Liferay, Drupal, etc.).
Work on eCommerce solutions covering shopping, checkout, and payment workflows.
Optimize large-scale data processing using Spark, Scala, Python, Databricks, or Snowflake.
Conduct code reviews, set best practices, and mentor junior developers.
Troubleshoot complex technical issues and recommend innovative solutions.
Collaborate with teams in different time zones to ensure smooth project execution.

Required Skills & Experience:
8-10 years of software development experience
3+ years of experience with Microservices (Java/Spring Boot)
3+ years of frontend experience (ReactJS, Angular, or equivalent)
1+ years of experience with Kafka event processing
1+ years of experience with Java-based CMS (Contentful, Contentstack, Liferay, Drupal, etc.)
Experience with NoSQL (MongoDB, Cassandra) & RDBMS (Oracle, MySQL)
Retail or eCommerce industry experience is a must (WebSphere Commerce, ATG, or equivalent)

Preferred Skills (Nice to Have):
GraphQL experience
Azure Cloud experience
Heavy data processing with Spark, Scala, Databricks, or Snowflake
Familiarity with ML & AI technologies