Senior Software Development Engineer - Full Stack

About Us:
Founded in 2016, DataZymes is a next-generation analytics and data science company driving technology and digital-led innovation for our clients, thus helping them get more value from their data and analytics investments. Our platforms are built on best-of-breed technologies, thus protecting current investments while providing clients more bang for their buck. As we are a premier partner for many Analytics and Information Management companies, we also provide advisory and consulting services to clients helping them make the right decisions and put together a long-term roadmap.
Our mission at DataZymes is to scale analytics and enable healthcare organizations in achieving non-linear, long term and sustainable growth. In a short span, we have built a high-performance team in focused practice areas, built digital-enabled solutions, and are working with some marquee names in the US healthcare industry.
Job Location: Bengaluru
Experience: 5 – 8 years
Industry: Pharmaceutical / Life Sciences
Role Overview
We are looking for a Senior 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 & 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 & 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.