Malur Karnataka Product fullstack engineer Jobs – 1 Open Jobs Today

Product Fullstack Engineer
Clarivate —Bengaluru Urban District, Karnataka
- Full-time
- Hybrid work
- Computer Science
- DevOps
- Master's degree

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Product Fullstack Engineer

Clarivate -
Bengaluru Urban District, Karnataka

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Job details

Full-time

Qualifications

Jira
BCS
CI/CD
Authentication
Node.js
Law
Computer Science
CSS
React
Kubernetes
Full-stack development
DevOps
.NET Core
NumPy
Microsoft SQL Server
Git
.NET
Master's degree
Databases
Microservices
SQL
Pandas
AWS
Quality assurance
Docker
Bachelor's degree
Confluence
JavaScript
PostgreSQL
Continuous integration
Back-end development
REST
Angular
GitHub
APIs
Agile
S3
Flask
AI
Jenkins
Python
HTML
MySQL

Full job description

We are seeking a Product Full Stack Developer with around 2 years of experience to build and maintain scalable web applications using Python (FastAPI/Flask) 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.

Education and Qualifications

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

Experience: 2+ years of experience in full stack development.

Backend: Hands-on experience with Python and modern frameworks (FastAPI, or Flask), and building REST APIs.

Frontend: Experience with Angular/.NET, HTML, CSS, and JavaScript.

Databases: Basic knowledge of SQL databases and query optimization.

Version Control: Familiarity with Git and standard version control workflows.

Cloud: Exposure to AWS (EC2, S3, Lambda) or any major cloud platform.

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

Containerization: Basic understanding of Docker is a plus.

Agile: Familiarity with Agile tools like Jira/Confluence.

Observability: 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, Python data libraries (e.g., Pandas, NumPy), or GenAI tools.

Knowledge of microservices architecture fundamentals.

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

What You Will 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).

Maintain & Improve: Work on bug fixes, enhancements, and support continuous improvement initiatives.

Backend Development: Develop backend services and APIs using Python (3.x) and frameworks like FastAPI, or Flask.

Frontend Development: Build responsive frontend components using Angular/.NET, HTML, CSS, and JavaScript.

Database Management: Work with databases such as PostgreSQL/MySQL/SQL Server and write efficient queries.

Integration: Participate in integrating APIs and third-party services.

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

Cloud Ops: Assist in deployments and troubleshooting in AWS environments (EC2, S3, Lambda).

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

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

Quality Assurance: Write unit and integration tests (using tools like pytest or unittest) to ensure code quality.

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

Code Reviews: Participate in code reviews and implement feedback.

Monitoring: Monitor application performance and logs with guidance from senior engineers.

Teamwork: Work closely with product managers, designers, and engineering teams.

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

Documentation: Document work and contribute to knowledge sharing within the team.

Continuous Learning: Learn new technologies such as React, Node.js, or .NET Core as needed.

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

Stay Ahead: 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.

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