Python Engineer with AI and some exposure to Java Location : Charlotte NC (Onsite )

Role : Python Engineer with AI and some exposure to Java
Location : Charlotte NC (Onsite )

Client Interview : In-person at WF NC office

Rate : $62

Indent : PSL308366-3-2

Must be legally authorized to work in US without need for employer sponsorship now or at any time in the future.

Must have expertise on python

Role Overview

We are seeking a highly experienced Full Stack Engineer with deep expertise in Spring Boot (Java), Python, React JS, and MongoDB, coupled with strong exposure to AI-driven applications and end-to-end product development.

The ideal candidate is a self-driven expert systems developer who can conceptualize, design, build, and scale complex applications independently, while adhering to modern SDLC practices and Agile methodologies.

This role requires strong engineering fundamentals, hands-on coding expertise, and the ability to lead the development of scalable, intelligent, and cloud-native applications.

Key Responsibilities

• Design, develop, and deploy end-to-end full stack applications using Spring Boot, Python, React JS, and MongoDB

• Build and integrate AI/ML-driven features into enterprise platforms (e.g., intelligent workflows, , Bot frameworks, Performance enhancements, LLM integrations, Resiliency patterns etc)

• Architect scalable, resilient, and high-performance microservices-based systems

• Own the complete Software Development Lifecycle (SDLC) — from requirements, design, development, testing, to deployment and support

• Develop reusable APIs, services, and UI components with a focus on performance and reliability

• Collaborate with cross-functional teams including product, AI/ML engineers, DevOps, and stakeholders

• Implement and optimize CI/CD pipelines and DevOps practices

• Drive code quality, design patterns, and engineering best practices

• Continuously evaluate and adopt emerging technologies, especially in AI and automation ecosystems

Required Qualifications

• 12+ years of software engineering experience, or equivalent practical expertise

• Proven expertise in full stack development and system design with Python, Spring boot Java and React Technologies

• Expertise with Secure coding practices

• Strong experience working in Agile/Scrum environments

• Exposure to platform engineering and large-scale system optimization

• Experience in low-latency, high-throughput systems

• Knowledge of enterprise architecture patterns

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Core Technical Skills

Backend & API Development

• Expert in Java (Spring Boot) for microservices and enterprise backend systems

• Strong proficiency and hands-on development with Python (including frameworks like FastAPI, Flask, or Django)

• Experience building RESTful and event-driven architectures

Frontend Development

• Advanced hands-on experience with React JS

• Strong understanding of modern UI/UX principles, state management, and performance optimization

Database Technologies

• Deep expertise in MongoDB (NoSQL)

• Good understanding of SQL and hybrid data models

AI & Intelligent Systems

• Hands-on experience integrating AI/ML models or APIs

• Exposure to LLMs, NLP, or intelligent automation systems

• Experience building AI-powered applications or expert systems is highly preferred

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Cloud, DevOps & Automation

• Strong experience with CI/CD pipelines (GitHub Actions, Jenkins, or similar)

• Familiarity with cloud platforms

• Experience with build and automation tools: Maven, Gradle

• Proficiency in scripting: Python, Bash, Shell

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Architecture & Integration

• Experience with microservices architecture and distributed systems

• Messaging platforms: Kafka, Solace, or similar streaming technologies

• Strong understanding of system scalability, resilience, and observability

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Monitoring & Observability

• Experience with tools such as:

o Elastic Stack (ELK)

o Grafana, Kibana

o Splunk, AppDynamics

• Ability to define metrics, alerts, and performance dashboards

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SDLC & Engineering Excellence

• Deep expertise in end-to-end SDLC practices

• Experience with:

o Version control systems (GitHub)

o Release management

o Automated testing frameworks

• Strong understanding of:

o Code quality standards

o Secure coding practices

o Performance tuning

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Soft Skills & Leadership

• Strong problem-solving and analytical thinking

• Excellent communication and stakeholder management skills

• Ability to work independently and take ownership of complex systems

• Proven ability to mentor and lead engineering teams

• Strong collaboration mindset across distributed teams

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Job Expectations

• Deliver high-quality, production-ready code

• Exhibit strong ownership from design to deployment

• Actively contribute to technical strategy and innovation

• Maintain engineering documentation and standards

• Collaborate effectively in Agile ceremonies (stand-ups, sprint planning, retrospectives)