Senior Analyst (R-18854)
Eyeota
IT
Chennai, Tamil Nadu, India
Posted on Feb 9, 2026
Shape the Future with Dun & Bradstreet
At Dun & Bradstreet, we believe data has the power to create a better tomorrow. As a global leader in business decisioning data and analytics, we help companies worldwide grow, manage risk, and innovate. For over 180 years, businesses have trusted us to turn uncertainty into opportunity. We’re a diverse, global team that values creativity, collaboration, and bold ideas. Are you ready to make an impact and help shape what’s next? Join us! Explore opportunities at dnb.com/careers.
As a Senior Full Stack Engineer, you will play a pivotal role in designing, building, and scaling AI powered applications that bridge user experiences with intelligent backend systems. You will own features end to end—from crafting seamless, modern interfaces to architecting resilient backend services and cloud native infrastructures.
You will collaborate closely with data scientists, product managers, and platform teams to bring ideas from concept to production, ensuring high performance, security, and reliability across the stack. Your work will directly influence the usability, scalability, and robustness of next generation AI applications.
Key Responsibilities:
- 1. Application & Integration Development-
- Frontend Development: Build intuitive, responsive, and modern user interfaces using HTML5, CSS3, JavaScript (ES6+), and frameworks such as React, Angular, Vue.js, or Next.js.
- Backend for AI Integration: Develop robust backend services using Python (FastAPI/Flask) to serve as the integration layer between frontend interfaces and AI/ML services.
- API Development & Consumption: Design, develop, and document RESTful or GraphQL APIs. Integrate third party and internal APIs, manage authentication flows, and maintain reliable data contracts between systems.
- Database Management: Design and manage relational and NoSQL databases (PostgreSQL, MySQL, MongoDB, etc.) to support application state, user data, logging, and conversation history.
- 2. Infrastructure & Operations-
- DevOps & Cloud Deployment: Containerize applications using Docker and deploy to cloud environments (AWS, Azure, or Google Cloud). Build and maintain CI/CD pipelines to enable automated testing and rapid deployment.
- Development Workflow Excellence: Use Git effectively for version control and team collaboration. Utilize package managers (npm, yarn) and build tools like Webpack or Vite in daily development.
- Application Quality & Reliability: Ensure end to end quality through unit, integration, and E2E tests using tools like Jest, Pytest, etc. Maintain resilience and reliability across all application layers, including AI service integrations.
- 3. Cross-Functional Responsibilities-
- Cloud‑Native Application Design: Architect and implement scalable, resilient systems using microservices or serverless patterns suitable for modern AI‑driven platforms.
- Web Security & Compliance: Implement secure authentication/authorization mechanisms, enforce secure communication with backend/AI services, and uphold best practices in web application security.
Key Skills:
- 5–8 years of professional full‑stack development experience with demonstrated ownership of end‑to‑end systems.
- Excellent understanding / knowledge of modern frontend technologies: HTML5, CSS3, JavaScript (ES6+), React/Angular/Vue.js, Next.js.
- Strong proficiency in backend development using Python, specifically FastAPI or Flask.
- Deep experience designing and consuming RESTful and/or GraphQL APIs.
- Competence in database technologies:
- Relational: PostgreSQL, MySQL
- NoSQL: MongoDB, DynamoDB, or equivalents
- Hands‑on experience with Docker, CI/CD pipelines, and deployments on AWS/Azure/GCP.
- Solid understanding of Git workflows and development tooling (npm/yarn, Webpack, Vite).
- Strong testing fundamentals across the stack (unit, integration, E2E).
- Knowledge of cloud‑native, microservices, or serverless architectures.
- Strong grounding in web security, including authentication, authorization, and secure API communication.
- Ability to collaborate cross‑functionally with product, data science, and platform engineering teams.
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