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# Python Engineer

- **Company:** Tata Consultancy Services Limited
- **Location:** Charlotte, NC, United States
- **Salary:** $100,000.0 - $120,000.0
- **Contract:** Permanent contract
- **Skills:** JavaScript (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Application Integration Architecture, Computing Platforms, Microsoft Azure, Cloud Computing, Databases, Data Security, DevOps, Disaster Recovery, Fault Tolerance, Design of User Interfaces, Data Intelligence, Python (Programming Language), PostgreSQL, MongoDB, Node.Js, NoSQL, Queueing Systems, Secure Coding, Systems Integration, TypeScript, Web Application Frameworks, Data Logging, ReactJS, System Availability, Caching, Data Layers, AngularJS, Material UI, Information Technology, Deployment Automation, Microservices
- **Published:** June 6, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=74cb35fce77a6863

## About the Role

Do you have experience in UI implementation?, Do you have a Bachelor's degree?, Must Have Technical/Functional Skills

 * Angular, React, NodeJS, Python, JavaScript

 * Familiarity with UI/UX Design and any database

 * Architect exp in designing the new applications/solutions, Qualifications : BACHELOR OF COMPUTER SCIENCE

## Description

* Oversee the complete architecture across front end, back end, APIs, data, and integrations.

 * Define reference architectures, technology standards, and design principles.

 * Make long-term decisions balancing scalability, security, cost, and speed while anticipating future needs and designing for extensibility.

 2. Deep Full-Stack Technical Expertise
 * Front End: Possess a strong command of modern frameworks like React and Typescript. Design performance, accessible, and secure UI architectures with Material UI components, setting standards for complex state management, authentication flows, and UX consistency.

 * Back End: Architect scalable services using Node.js or Python, design REST and event-driven APIs, and apply microservices patterns, resiliency, and fault tolerance.

 * Data Layer: Model relational and NoSQL databases using MongoDB or Postgres, and design data access, caching strategies, and data consistency models.

 3. Cloud, DevOps, and Platform Design
 * Architect cloud-native solutions on AWS, Azure, or GCP.

 * Design CI/CD pipelines, infrastructure as code, and deployment strategies while building for high availability, disaster recovery, and cost optimization.

 * Embed observability, logging, and monitoring by design.

 4. Security and Compliance by Design
 * Apply secure coding and architecture principles.

 * Design authentication, authorization, and data protection models.

 * Ensure compliance with enterprise and regulatory standards.

 5. AI Integration & Next-Gen Technologies
 * Proficient with AI coding assistants, knowledgeable in AI workflow automation and intelligent data processing, and experienced with real-time technologies and message queues.


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