Senior Application Developer Python, Dockers, Kubernetes, AI Integration tools

Tata Consultancy Services; Morrisville (NC); On-site; USD 64,000 - 130,000; Full time

Job summary

Tata Consultancy Services in Morrisville, NC is seeking a senior platform/application developer to support platform development and cloud deployment for documentation and AI-related services. You will build and maintain Python web applications and APIs, integrate with internal and external systems, and ensure production services run reliably using Docker, Kubernetes, and cloud providers such as AWS or GCP.

Strong focus on build, deploy, automation, and production support.

Qualifications

• Experience building Python web applications and APIs.
• Strong knowledge of cloud deployment and production systems.
• Familiarity with security practices such as OAuth 2.0/OpenID Connect.

Responsibilities

• Support platform development and cloud deployment for documentation and AI-related services.
• Build and maintain Python web applications and APIs.
• Integrate with internal and external systems and operate services reliably in production.
• Work with Docker and Kubernetes on AWS or GCP and apply web security practices including OAuth 2.0/OpenID Connect.
• Hands-on experience with AI-related services (retrieval/RAG APIs, LLM backends, tooling protocols).
• Focus on build, deploy, automation, deployment pipelines, troubleshooting, and production support.

Skills

Python

Web backend development

OAuth 2.0/OpenID Connect

Cloud platforms (AWS/GCP)

AI services integration

Tools

Docker

Kubernetes

AWS

GCP

Job description

Job Description

Roles & Responsibilities:

We are looking for a senior platform/application developer to support platform development and cloud deployment

for our documentation and AI-related services - building and maintaining Python web applications and APIs,

integrating with internal and external systems, and operating services reliably in production. The role requires 5+ years of production experience with web/backend development in Python, Docker and Kubernetes on AWS or GCP,

and web security practices including OAuth 2.0 / OpenID Connect. Practical hands-on experience integrating with

AI-related services (e.g. retrieval/RAG APIs, LLM or assistant backends, tooling protocols such as MCP) is expected; deep ML or model-training experience is not required. The work is broader platform engineering: feature development,

automation, deployment pipelines, troubleshooting, and helping mature services for wider internal and eventual

external customer/partner use. We need someone self-directed who can investigate, design, and deliver with

minimal handholding. A production-support-leaning resource may be considered later; for now, prioritize

candidates strong across build, deploy, and production support.

Salary Range: $64,000 - $130,000 a year