1181 IT & Software Developer jobs in the US

Sorona Inc. jobs

Mid-Level DevOps Engineer - Azure & Kubernetes

$70,000 - 110,000
Sorona Inc.
Ridge Point Drive, Columbus
$70,000 - 110,000
Company Size icon
Company Size
200-500
Company Type icon
Company Type
Product
Exp Level icon
Exp Level
Regular
Job Type icon
Job Type
Full-Time
Language icon
Language
English
Visa sponsorship icon
Visa sponsorship
No

Requirements

Must:
- Proficient in Kubernetes and Azure Cloud Services - Experience with containerization technologies such as Docker - Familiar with Azure DevOps and GitHub - Strong understanding of CI/CD principles and tools - Proficient in Infrastructure as Code (IaC) tools like Terraform or similar - Familiarity with scripting languages (Bash, Python, PowerShell) - Knowledge of tools from the CNCF ecosystem - Excellent problem-solving and troubleshooting abilities - Strong communication and teamwork skills - Capable of working independently and collaboratively

Responsibilities

- Design, implement, and manage secure and scalable cloud infrastructure using Kubernetes and Azure Cloud - Develop and manage infrastructure with Terraform and Infrastructure as Code methodologies - Create, implement, and maintain CI/CD pipelines utilizing Azure DevOps and GitHub - Automate the deployment process for swift and reliable software releases - Manage source code repositories and version control through Git - Establish branching strategies and workflows that support development processes - Collaborate with development teams to ensure seamless project delivery - Provide support for both development and production environments

Description


At Rosenxt, we are a progressive technology group with 45 years of engineering excellence. Our privately owned company operates globally, constantly looking to the future and transforming opportunities into successful projects. Our dynamic team in San Luis Obispo focuses on developing software and hardware for prototype sensors in non-destructive testing, while our Columbus team specializes in creating machine learning models for large data solutions. We foster a collaborative and innovative environment, offering ongoing career growth, flexible work schedules, and a robust benefits package.
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