DataZymes - Senior Software Development Engineer - Full Stack Technologies

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.