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Python Engineer with Java full stack

Role: Python Engineer with Java full stack
Location: Charlotte NC (Onsite )Client Interview : In-person at Wells Fargo NC office
Rate: $62 Indent : PSL308366-3-1 / PSL308366-3-2Role 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 MongoDBBuild 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
  • 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 JSStrong 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 APIsExposure to LLMs, NLP, or intelligent automation systems
  • Experience building AI-powered applications or expert systems is highly preferred
  • 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
  • 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, AppDynamicsAbility to define metrics, alerts, and performance dashboardsSDLC & 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
  • 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
  • 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)