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# Python/PySpark Developer

- **Company:** HAN IT STAFFING, INC.
- **Location:** Hanover, NJ, United States
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Amazon Web Services, Amazon Elastic Compute Cloud, Amazon S3, Application Integration Architecture, Cloud Engineering, Databases, Continuous Integration, Identity and Access Management, Python (Programming Language), Enterprise Messaging Systems, Cloud Services, Search Technologies, Software Engineering, SQL Databases, Retrieval-Augmented Generation, Flask (Web Framework), Large Language Models, Prompt Engineering, Spring-boot, Generative AI, Amazon Virtual Private Cloud (VPC), Fastapi, Data Lakes, Pyspark, Kubernetes, Machine Learning Operations, Functional Programming, Api Design, Cloudwatch, Restful APIs, Model Inference, Docker, Databricks, Microservices
- **Published:** October 31, 2026
- **Apply:** https://www.careerjet.com/jobad/us7f20a9319fc8a2b53188950e8379548c

## About the Role

* Hands-on experience developing production-grade solutions using Python and PySpark., * Strong application engineering experience with the ability to design, develop, test, and deploy production-grade applications.
 * Hands-on experience building REST APIs and microservices using languages/frameworks such as Python (FastAPI/Flask) or Java (Spring Boot).
 * Good understanding of end-to-end application development, including API design, service integration, authentication/authorization, configuration, testing, CI/CD, observability, scalability, and production support.
 * Experience integrating applications with cloud services, databases, messaging platforms, and external/internal APIs.

AWS & Cloud Architecture:

 * Strong understanding of AWS cloud architecture and cloud-native data/application solutions.
 * Hands-on experience with Amazon S3, IAM, EC2, Lambda, EKS, RDS, CloudWatch, Secrets Manager, KMS, and VPC/networking.
 * Strong understanding of IAM roles/policies, encryption, private connectivity, security groups, and cross-account access.
 * Experience designing secure, scalable, and highly available applications on AWS.

Generative AI/LLM Engineering:

 * Experience deploying and operationalizing Large Language Models (LLMs) in production.
 * Hands-on experience with LLM inference, model serving, prompt engineering, embeddings, RAG, and vector search.
 * Experience integrating LLM capabilities into production applications and APIs.

Nice to Have:

 * Hands-on experience with Delta Lake, Unity Catalog, Databricks Workflows/Jobs, MLflow, notebooks, clusters/compute, and SQL Warehouses.

Experience with containerized application deployment using Docker/Kubernetes/EKS and automated CI/CD pipelines.