Full Stack Engineer

DataWeave; Bengaluru; On-site; INR 1,500,000 - 3,000,000; Full time

Job summary

DataWeave is seeking a Full Stack Engineer to build end-to-end product features—from responsive UIs to scalable APIs and distributed systems. You will work on cloud-native, Kubernetes-based architectures across a modern data stack and embed AI-assisted tooling as a standard part of the engineering workflow.

You will build UIs with React, design REST APIs with Python frameworks, and operate Kafka-based data pipelines while leveraging S3 and Athena.

Qualifications

• 3–6 years building production web applications with meaningful full-stack exposure.
• Experience in product-based companies working in agile environments.
• Ability to own features end-to-end — UI through API to database — and take them to production.
• Hands-on experience with AI-assisted development tools.
• Familiarity with agent frameworks, prompt engineering, and LLM orchestration.
• Proficiency with Python web frameworks and cloud DevOps practices.

Responsibilities

• Build responsive UIs with React and manage frontend state and performance.
• Develop scalable REST APIs and microservices in Python with well-documented contracts.
• Design cloud-native architectures on Kubernetes (EKS/AKS) for high availability.
• Operate distributed messaging (Kafka) and data stores (S3, Athena).
• Collaborate across design, product, and DevOps; contribute to code reviews and incident response.
• Embed AI tooling into CI/CD and developer workflows.

Skills

Full-stack development

React UI development

API design & Python backend

AI-assisted development

Cloud-native / Kubernetes

Kafka data pipelines

Tools

Docker

Kubernetes

Azure DevOps

AWS

S3/Athena

Job description

We are looking for a Full Stack Engineer to build end-to-end product features — from responsive UIs to scalable APIs and distributed systems. You will work on cloud-native, Kubernetes-based architectures, across a modern data stack, and embed AI-assisted tooling as a standard part of your engineering workflow.

Frontend

• Build responsive, accessible UIs using React; own component design, state management, and frontend performance.
• Collaborate with design and product to translate specifications into high-quality, production-ready interfaces.
• Build and maintain scalable REST APIs and microservices in Python with well-documented, versioned contracts.
• Design and implement cloud-native, microservices-based architectures on Kubernetes (EKS or AKS), ensuring high availability, scalability, and fault tolerance.
• Design and operate distributed messaging systems (Kafka); optimise data models across relational, NoSQL, and file-based stores (S3, Athena).
• Write well-tested, maintainable code; actively participate in code reviews, surface risks early, and contribute to incident response.

AI-Native Development (Mandatory)

• Use AI-assisted tools (Claude, Cursor, GitHub Copilot) daily for code generation, review, and documentation.
• Apply agent frameworks, prompt engineering, and LLM orchestration to integrate AI tooling into CI/CD and developer workflows.

Skills & Experience Required

Core Experience

• 3–6 years building production web applications with meaningful full-stack exposure.
• Experience in product-based companies working in agile, fast time-to-market environments.
• Demonstrated ability to own features end-to-end — UI through API to database — and take them to production.

AI-Native & Productivity Engineering (Mandatory)

• Day-to-day hands-on experience with AI-assisted development tools — Claude, Cursor, GitHub Copilot, or equivalent.
• Familiarity with agent frameworks, prompt engineering, LLM orchestration, and integrating AI tooling into CI/CD and developer workflows.

Technical Stack

• Backend: Python (Django, FastAPI, or Flask); REST API design; event-driven patterns.
• Data Stores: MySQL, Postgres, DynamoDB; file-based stores — S3, Athena; indexing and query optimisation.
• Distributed Systems: Kafka or equivalent messaging queues; event-driven and fault-tolerant architecture patterns.
• Cloud & DevOps: Docker, Kubernetes (EKS or AKS); CI/CD pipelines (Azure DevOps or equivalent); AWS.