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# Technical Specialist - DevOps, Python, Kubernetes

- **Company:** HCL America Inc.
- **Location:** Durham, NC, United States
- **Experience:** Experienced
- **Salary:** $172,000.0
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Cloud Computing, Cloud Engineering, Configuration Management, Continuous Integration, Software Debugging, DevOps, Github, Python (Programming Language), Key Management, Octopus Deploy, OpenStack, Cloud Services, Ansible, Software Engineering, Google Cloud, Gitlab, Kubernetes, Infrastructure Automation Frameworks, Software Coding, Terraform, Docker, Artifactory
- **Published:** August 10, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=04dce6b1816b5c27

## About the Role

Top Skills Required:

 * Kubernetes experience: Including usage, deployment, workload management, and writing code.
 * GitLab and GitHub experience.
 * Cloud-based services: AWS preferred, or other cloud-related technologies.
 * IaC: Terraform experience writing and debugging.

Other Requirements

Nice-to-Have Skills:

 * Go
 * Vault Enterprise

-

4+ years supporting automation for cloud-native solutions (AWS, Openstack, or Google Cloud).

 * 2+ years' experience with infrastructure automation tools like Terraform.
 * 2+ years' experience with configuration management tools like Ansible.

## 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., The Infrastructure Cloud Engineer role is an SRE-focused position responsible for developing and maintaining cloud infrastructure and configuration management code. Key responsibilities include handling client support cases, managing an Enterprise secrets management service, and ensuring service health across various environments.

The role involves significant hands-on work with Kubernetes and AWS infrastructure (70-80%), automation (10-20%), and support tickets (5%).

Core Infrastructure Work:

 * AWS
 * Kubernetes
 * CI/CD with Argo CD and pipelines
 * GitLab and GitHub (including migration efforts)
 * Containers (Docker, Artifactory)
 * Security reviews and audits
 * Helm (nice to have, related to Kubernetes)


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