Software Development Engineer - Full Stack

About the Role

We are looking for a Java Full Stack Developer with strong experience in Java, Spring Boot, and

modern front-end technologies. The ideal candidate will design and build scalable enterprise-grade

applications, RESTful APIs, and microservices for our healthcare and life-sciences analytics

platforms, while actively leveraging AI-assisted development practices to accelerate delivery.

Core Programming and Frameworks:

• Strong proficiency in Java 11+ / Java 17

• Hands-on expertise in Spring Boot, Spring MVC, Spring Data JPA, and Spring Security

• Experience developing RESTful APIs and microservices architectures

• Hands-on experience with front-end frameworks such as React.js

• Working knowledge of JavaScript / TypeScript, HTML5, and CSS3

• Experience with build tools such as Maven or Gradle

• Familiarity with messaging systems (Kafka / RabbitMQ) and caching (Redis).

Cloud, DevOps s Containerization:

• Hands-on experience with AWS / Azure / GCP services

• Experience with Docker and Kubernetes for containerized deployments

• Familiarity with CI/CD pipelines using Jenkins, GitHub Actions, or Azure DevOps.

AI Assisted Development:

Hands-on experience or familiarity with AI-powered development tools, such as:

• GitHub Copilot

• Cursor AI

• ChatGPT / LLM-assisted coding

• AI-assisted code generation, debugging, testing, and refactoring

• Ability to use AI tools to accelerate development productivity

Database & Data Management:

• Strong knowledge of SQL (PostgreSQL / MySQL / Oracle)

• Experience with MongoDB or other NoSQL databases

• Database schema design, query optimization, and JPA / Hibernate performance tuning

Engineering Practices:

• Strong understanding of clean code, SOLID principles, and scalable architecture

• Experience with Agile / Scrum development

• Writing unit tests (JUnit, Mockito) and integration tests

• Conducting code reviews and collaborative development

Additional Preferred Skills:

• Experience working on SaaS platforms

• Familiarity with data platforms or analytics products

• Experience integrating third-party APIs

• Exposure to healthcare / life-sciences data standards is a plus

Soft Skills:

• Strong problem-solving and analytical thinking

• Ability to work in fast-paced product teams

• Good communication and documentation skills

• Proactive mindset to leverage AI tools for development efficiency.