Senior Full Stack Python Developer

Job Title:

Senior Full Stack Python Developer Location:

Roseland, NJ (Hybrid - 3 days onsite) Job Summary

STAFFXPERT LLC

is seeking a Senior Full Stack Python Developer on behalf of our client in Roseland, NJ. This role is ideal for a seasoned engineer who thrives at the intersection of backend development, frontend engineering, cloud architecture, and AI-driven innovation. You will play a key role in building scalable enterprise applications, leading technical initiatives, and mentoring development teams. Key Responsibilities Design, develop, and maintain scalable backend services using Python frameworks such as Flask, FastAPI, or Django Build dynamic, responsive frontend applications using React.js and modern JavaScript/TypeScript Architect and implement RESTful APIs and microservices-based solutions Develop and manage data workflows using Apache Airflow Integrate AI/ML models and LLM-based capabilities into enterprise systems Deploy, monitor, and optimize applications in AWS cloud environments Collaborate with cross-functional teams including product managers, designers, and stakeholders Lead technical discussions, contribute to architecture decisions, and drive best practices Mentor and guide junior and mid-level developers Ensure code quality through unit, integration, and end-to-end testing Required Qualifications 11+ years of overall IT experience 6+ years of hands-on Python development 3+ years of experience with React.js Proven experience leading or mentoring engineering teams Strong expertise in building REST APIs and microservices architectures Technical Skills Backend Development Python (Flask, FastAPI, Django) API design and distributed systems Apache Airflow for workflow orchestration

Databases:

PostgreSQL, MySQL, MongoDB, Redis Frontend Development React.js (Hooks, Redux, Context API) JavaScript / TypeScript (ES6+) Responsive UI and modern CSS frameworks Cloud & DevOps AWS services (EC2, Lambda, ECS/EKS, S3, RDS, DynamoDB) API integrations (API Gateway, SQS, SNS, EventBridge) Infrastructure as Code (Terraform, CloudFormation, or CDK) CI/CD tools (Jenkins, GitLab CI, GitHub Actions) Containerization (Docker, Kubernetes) Monitoring tools (CloudWatch, Datadog, New Relic) AI/ML (Preferred) Experience integrating AI/ML or LLMs into applications Familiarity with modern AI platforms and services Soft Skills Strong analytical and problem-solving abilities Excellent communication and collaboration skills Ability to thrive in fast-paced Agile environments