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# Software Engineer (Hybrid, NYC, NY area) W2 Only

- **Company:** Yoh Services LLC
- **Location:** Jersey City, NJ, United States
- **Experience:** Expert
- **Salary:** $33,114.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Linux, DevOps, Distributed Systems, Fault Tolerance, Groovy, Python (Programming Language), Machine Learning, Performance Tuning, Azure Machine Learning, Software Engineering, Scripting, Cloudformation, Git Flow, Information Technology, Terraform, Data Pipelines, Docker, Jenkins
- **Published:** July 5, 2026
- **Apply:** https://www.juju.com/job/00000000gdzj29

## About the Role

Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field

Extensive experience with Python in building and maintaining scalable libraries and platforms

Strong knowledge of Linux, scripting, and automation (Java or Groovy a plus)

Proven expertise in developing and operating cloud-native systems on AWS, including experience with services like SageMaker (Azure or GCP exposure is beneficial)

Solid DevOps skills including Jenkins, Docker, Git workflows, and containerized deployment strategies

Infrastructure-as-Code experience with CloudFormation, Terraform, or equivalent tools

Hands-on experience with ML system deployment, inference, monitoring, and operational reliability

Deep understanding of distributed systems, high-throughput workloads, and fault-tolerant architectures

Ability to troubleshoot complex production issues and optimize system performance

Excellent communication skills and a collaborative mindset in cross-functional teams

Nice to Have Skills:

Experience with Java/Groovy

Prior exposure to ML concepts, data pipelines, and diverse data types

Knowledge of automated diagnostics and model observability tools

Familiarity with emerging technologies related to AI/ML platforms

Preferred Education and Experience:

5+ years building Python-based cloud applications or platforms in a production environment

Prior experience supporting business-critical, scalable systems



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