About the Role

We are looking for a Product Software Engineer (Full Stack Developer) with 3+ years of experience in building enterprise applications using Java, Spring Boot, Microservices, REST APIs, and SQL Server.

In this role, you will deliver scalable, secure, and reliable software solutions across the application lifecycle. You will contribute to feature development, automation, performance optimization, and continuous improvement while leveraging modern AI-assisted engineering tools to enhance productivity and software quality.

Key Responsibilities

Build and enhance Java/Spring applications, microservices, and REST APIs.
Deliver high-quality, maintainable, and secure software solutions.
Work with SQL Server databases, including query optimization and performance improvements.
Develop and maintain automated tests to ensure application reliability and quality.
Identify, troubleshoot, and resolve application issues across development and production environments.
Participate in code reviews, technical discussions, and Agile ceremonies.
Utilize AI-assisted development tools and validate AI-generated outputs for quality, security, and maintainability.
Contribute to automation, engineering best practices, and continuous improvement initiatives.

Required Skills

3+ years of software engineering experience.
Java, Spring Framework, and Spring Boot.
Microservices and REST API development.
SQL Server or other relational databases.
JUnit and Mockito.
Git and CI/CD practices.
Experience using AI-assisted development tools (GitHub Copilot, ChatGPT, Cursor, or similar).
Strong analytical and problem-solving skills.
Experience working in Agile/Scrum teams.

Nice-to-Have Skills

Playwright, Selenium, or Tosca.
qTest or similar test management tools.
Generative AI and AI-driven engineering workflows.
Azure, AWS, or GCP.
Docker and Kubernetes.

Experience: 3+ Years
Role: Product Software Engineer (Full Stack Developer)

Ideal Candidate: A hands-on engineer with strong Java development skills, a quality-first mindset, experience with test automation, and the ability to effectively leverage AI tools throughout the software development lifecycle.

Our Interview Practices