Senior Software Development Engineer in 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 .