Java Developer

The role is based in the Pune R&D Centre, at SAS R&D Pune facility.

For this role, you will join the Viya 3.5 team.

We are looking for a Java developer to develop and maintain the Viya 3.5 platform and services.

You will help with plan and design work and take responsibility for large parts of the application.

Furthermore, you will be joining a friendly team with a broad range of experience, to develop and maintain SAS Viya 3.5 and/or SAS 9.4 Solutions.

• Your primary responsibility will be to enhance and maintain, fix customer and security issues with multiple products and services under SAS Viya 3.5 Platform products.
• Work with customers and technical support for resolution of issues related to security, performance.
• Ensure all applicable security policies and processes are followed to support the organization’s secure software development goals.
• Perform to the unit testing, integration testing, and manual/automated tests functional/performance testing.

• 2-5 years of experience.
• Excellent programming skills with Java, Spring MVC, Spring boot, Hibernate.
• Expertise in working on Database centric applications and knowledge of SQL with Postgres, Oracle
• Understanding of OOPs, Design Patterns, SOLID principles.
• Knowledge of Security concepts, Tool such as Snyk, Blackduck etc
• Experience with fast paced Agile software development methodologies.
• Good debugging skills, logical problem-solving capability, quick and self-learner to adopt and use new technologies.
• Experience with disciplined unit, regression, and integration testing
• Aptitude to work with large Legacy code bases
• Use of AI Dev tool (GitHub Copilot , Cursor, Claude code etc)

• Good exposure to design and development of mid-tier services, REST APIs, Java ecosystem.
• Knowledge of OOPs, Design Patterns, SOLID principles.
• Excellent programming skills with Java, Spring MVC, Spring boot, Hibernate.
• Expertise in working on Database centric applications and knowledge of SQL with Postgres, Oracle
• Demonstrated experience with disciplined unit, regression, and integration testing with large software portfolio