Senior Java Developer
Required Experience & Education

• 7 –10 years of professional software development experience.
• Bachelor’s degree in Computer Science or a related field (or equivalent experience).

Core Technical Skills (Java & Backend)

• Strong professional experience with Java (backend development).
• Experience building RESTful APIs and working with common Java frameworks (e.g.,

Spring / Spring Boot or similar).
Outstanding Java expertise (Java 8+) including I/O, multithreading/concurrency,
collections, generics, and lambda expressions.

• Strong experience building and consuming RESTful API web services.
• Strong knowledge of Spring Framework and Dependency Injection
• Proficiency with build/test tools: Maven/Gradle, JUnit/Mockito, FitNesse.
• Proven ability to perform R&D using AI, including evaluating AI-assisted approaches,

rapidly prototyping solutions, and validating outcomes (e.g., prompt engineering,
model/tool evaluation, and integrating AI capabilities into workflows or applications).

• Excellent problem-solving, analytical, and technical skills.
• Strong oral and written communication skills, with the ability to clearly explain

technical concepts to both technical and non-technical stakeholders.

Database & Data Skills

• Outstanding database skills with strong understanding of RDBMS (e.g., MS SQL)

and data modeling.

• Ability to write advanced SQL queries for reporting, troubleshooting, and data analysis.
• Experience working with structured and semi-structured data formats: XML and JSON.

DevOps / SDLC / Tooling

• Understanding of Docker containers in the development process.
• Understanding of application lifecycle management.
• Ability to use CI/CD pipelines and related tools (e.g., JIRA, Jenkins) to build and deploy

applications.

• Experience with Git and collaborative development workflows.

Preferred / Nice-to-Have (Java Upgrade, Python & AI)

• Direct experience upgrading or migrating applications to Java 21 (or recent LTS

versions), including:

• Dependency and build updates (e.g., Maven/Gradle)
• Compatibility testing and resolving breaking changes.
• Performance and runtime improvements where applicable
• Python proficiency (preferred), particularly for AI/ML development and automation.

Soft Skills

• Flexible and versatile; able to adapt quickly to new environments and work across

projects.