Product Full Stack Developer

Product Fullstack Engineer

We are seeking a Product Full Stack Developer with around 2 years of experience to build and maintain scalable web applications using Java/Spring Boot and Angular/.NET.

In this role, you will contribute to the development of modern, user-centric applications and collaborate closely with senior engineers, product managers, and designers to deliver high-quality features. You will also gain exposure to GenAI-enabled experiences, cloud deployments, and modern engineering practices, while continuously enhancing your full stack skillset.

About you education and Qualifications 

• Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent).

• 2+ years of experience in full stack development.

• Hands-on experience with Java, Spring Boot, REST APIs.

• Experience with Angular/.NET, HTML, CSS, JavaScript.

• Basic knowledge of SQL databases and query optimization.

• Familiarity with Git and version control systems.

• Exposure to AWS (EC2, S3, Lambda) or any cloud platform.

• Understanding of CI/CD pipelines (GitHub Actions/Jenkins).

• Basic understanding of containerization (Docker) is a plus.

• Familiarity with Agile tools like Jira/Confluence.

• Awareness of monitoring/logging tools is good to have.

It would be great if you also had

• Exposure to React, Node.js, or .NET Core.

• Basic understanding of AI/ML concepts or GenAI tools.

• Knowledge of microservices architecture fundamentals.

• Interest in learning cloud, DevOps, and modern engineering practices.

What will you be doing in this role: 

• Collaborate with team members to understand requirements and contribute to feature development.

• Assist in implementing functional and non-functional requirements (performance, security).

• Work on bug fixes, enhancements, and support continuous improvement initiatives.

• Develop backend services and APIs using Java (8/11/17) and Spring Boot.

• Build responsive frontend components using Angular/.NET, HTML, CSS, and JavaScript.

• Work with databases such as PostgreSQL/MySQL/SQL Server and write efficient queries.

• Participate in integrating APIs and third-party services.

• Support CI/CD processes and follow established development workflows.

• Assist in deployments and troubleshooting in AWS environments (EC2, S3, Lambda).

• Learn and contribute to containerized deployments using Docker/Kubernetes (basic exposure).

• Gain exposure to GenAI integrations and AI-based features under guidance.

• Write unit and integration tests to ensure code quality.

• Follow secure coding standards (basic understanding of OWASP, authentication mechanisms).

• Participate in code reviews and implement feedback.

• Monitor application performance and logs with guidance from senior engineers.

• Work closely with product managers, designers, and engineering teams.

• Participate in agile ceremonies (stand-ups, sprint planning, retrospectives).

• Document work and contribute to knowledge sharing within the team.

• Learn new technologies such as React, Node.js, or .NET Core as needed.

• Gain exposure to AI/ML concepts, LLM APIs, and prompt engineering.

• Stay updated with modern development tools and practices.

  
About the Team   

You will be part of Clarivate’s Life Sciences & Healthcare (LSH) Commercial Technology organization, working at the intersection of GenAI, applied AI, data, and product enablement. The team focuses on translating advanced AI capabilities into enterprise-ready SaaS applications that support data- and workflow-intensive products used by global pharma, biotech, and healthcare customers. The team is globally distributed across India and the U.S., operating in a hybrid model. 

    

Hours of Work  

Full-time, IST  

40 hours per week  

Hybrid working environment  

  

At Clarivate, we are committed to providing equal employment opportunities for all  qualified persons with respect to hiring, compensation, promotion, training, and other terms, conditions, and privileges of employment. We comply with applicable laws and regulations governing non-discrimination in all locations.

Experience Level

Mid Level