Key Responsibilities:

Full stack Application Development

- Design and develop modern, responsive web applications and drive the end-to-end development of scalable full-stack solutions using React, TypeScript, and Python (Fast API), delivering high-performance web applications, APIs, microservices, analytics dashboards, data platform integrations, and AI-powered capabilities in partnership with Product, Data Engineering, Architecture, and Platform teams.

Data Quality & Analytics

- Build and enhance next-generation Data Quality and Governance platform that enables rule management, observability, metadata-driven monitoring, policy enforcement, and AI-powered insights. Develop scalable capabilities (front-end and back-end) for data quality assessment, anomaly detection, lineage, governance workflows, and self-service analytics, transforming business requirements into extensible enterprise-grade solutions.

Cloud Engineering & DevOps

- Build cloud-native applications using GCP. Containerize applications using GKE and orchestrate deployments through CI/CD pipelines, preferably Terraform.

Implement

Infrastructure-as-Code and engineering best practices. Participate in operational excellence activities, monitoring, reliability, and platform optimization.

AI & automation

- Integrate Generative AI and Agentic AI capabilities into engineering solutions. Collaborate with Data Scientists and AI teams to operationalize AI/ML models. Develop AI-powered workflows, anomaly detection solutions, and intelligent user experiences. Build and integrate LLM-enabled services, copilots, and automation capabilities where appropriate.

Engineering Governance

- Write clean, maintainable, and testable code. Develop automated unit, integration, and end-to-end tests. Perform code reviews,



technical documentation and contribute to engineering standards and best practices. Champion security, scalability, performance, and accessibility standards. Participate in architectural discussions and comply to Agile/Scrum practices.

Key Requirements:

- 5-8 years of professional fullstack/software engineering development experience with demonstrated ownership of endtoend systems.

- Strong experience in modern frontend development using React/Angular, TypeScript, JavaScript (ES6+), HTML5/CSS3

- Strong backend development experience using Python, Fast API or Flask

- Solid SQL skills with experience developing analytical queries against large-scale datasets.

- Experience designing and developing REST APIs, Microservices architectures, Event-driven systems

- Experience with databases PostgreSQL, MySQL, MongoDB, or equivalent NoSQL technologies

- Experience with Docker, CI/CD pipelines, Terraform, Git-based development workflows

- Experience building and deploying applications on Google Cloud Platform (GCP) including BigQuery, Composer (Airflow), Cloud Storage, Pub/Sub, Dataproc, Dataflow and GKE.

Experience with Terraform and Infrastructure-as-Code is highly preferred.

- Strong testing fundamentals across the stack (unit, integration, E2E).

- Solid understanding of Git workflows and development tooling (npm/yarn etc).

- Familiarity with data pipelines, ETL/ELT processing, metadata-driven architectures, observability frameworks, and large-scale analytical platforms.

- Strong grounding in web security, including authentication, authorization, and secure API communication.

- Strong problem-solving, communication, and collaboration skills.

- Ability to work independently and in cross-functional teams.

- Focus on quality, performance, and maintainability.

📌 Python Full Stack Developer (Hyderabad)
🏢 Dun u0026 Bradstreet
📍 Hyderabad