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# Python Engineer with Java full stack

- **Company:** Peoplentech Llc
- **Location:** Alexandria, VA, United States
- **Salary:** $128,960.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Application Integration Architecture, Software Applications, Bash Shell, Cloud Computing, Software Code Optimization, Software Quality, Databases, Software Design Patterns, DevOps, Distributed Systems, Django Web Framework, Elasticsearch, Expert Systems, Github, Gradle, Monitoring of Systems, Python (Programming Language), Machine Learning, Apache Maven, Enterprise Messaging Systems, MongoDB, NoSQL, Performance Tuning, Systems Development Life Cycle, Release Management, Secure Coding, Software Engineering, SQL Databases, User-Centered Design, Modern Ui, Spring Cloud, ReactJS, Flask (Web Framework), Large Language Models, Grafana, Spring-boot, Backend, Fastapi, Event Driven Architecture, Material UI, Low Latency, Apache Kafka, Front End Software Development, Video Streaming, Virtual Agents, Api Design, Kibana, Software Coding, Restful APIs, Splunk, Appdynamics, Software Version Control, Jenkins, Microservices
- **Published:** October 29, 2026
- **Apply:** https://www.thejobnetwork.com/job/6c1f1308-24ac-449a-9c1e-9a3e9c8f2484/python-engineer-with-java-full-stack

## About the Role

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., * 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, 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
________________________________________
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
________________________________________
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, * 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

## Description

* 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