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# Technical Specialist - DevOps, Python, Kubernetes

- **Company:** HCL America Inc.
- **Location:** Jersey City, NJ, United States
- **Salary:** $135,000.0 - $155,000.0
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, Cloud Computing, DevOps, Python (Programming Language), Performance Tuning, Ansible, Software Engineering, Scripting, Delivery Pipeline, Software Troubleshooting, Git, Containerization, Kubernetes, Docker, Jenkins
- **Published:** September 10, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=ca9d0f524324bac4

## About the Role

1. Proficiency in devops practices and tools such as jenkins, docker, ansible, and git.
 2. Strong experience in python programming and scripting for automation and system management.
 3. In-depth knowledge of kubernetes infrastructure for container orchestration.
 4. Familiarity with cloud technologies (e.g., aws, azure, gcp) and containerization.
 5. Understanding of ci/cd pipelines and agile methodologies for software development.
 6. Excellent problem-solving skills and the ability to troubleshoot complex technical issues.
 7. Strong communication and collaboration skills to work effectively in a team environment.
Other Requirements
1.Relevant certifications in DevOps, Python, or Kubernetes would be a plus.

## Description

This role involves managing and optimizing technical processes by leveraging expertise in DevOps practices, Python programming, and Kubernetes infrastructure. The Technical Specialist will be responsible for ensuring seamless integration, automation, and scalability of software development and deployment activities.
Key Responsibilities

 1. Design, implement, and maintain devops pipelines to automate software delivery processes.
 2. Collaborate with development teams to integrate devops tools and practices effectively.
 3. Monitor and optimize kubernetes clusters for improved efficiency and performance.
 4. Develop and maintain python scripts and tools to enhance system automation.
 5. Troubleshoot and resolve issues related to devops, python, and kubernetes implementations.
 6. Conduct regular testing and performance tuning to ensure optimal system functionality.
 7. Provide technical guidance and support to team members on devops best practices.
 8. Stay updated on industry trends and technologies related to devops, python, and kubernetes.


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