DevOps Engineer

Machine Learning Technologies, LLC; Village of Ilion (NY); On-site; USD 110,000 - 170,000; Full time

Job summary

Machine Learning Technologies, LLC is seeking a Systems/DevOps Engineer to design, implement, and optimize CI/CD pipelines in our cloud-based development and deployment ecosystem. The role focuses on Azure DevOps environments, release management, and platform automation.

You will lead migration efforts from Azure DevOps to GitHub, automate infrastructure, and collaborate with security and engineering teams to improve reliability and deployment efficiency.

Qualifications

• Experience with Azure DevOps, CI/CD pipeline development, and release management.
• Strong understanding of build and deployment automation practices.
• Experience supporting cloud-based environments, preferably Microsoft Azure.
• Hands-on experience with source control platforms such as GitHub and Git.
• Knowledge of scripting and automation tools (PowerShell, Bash, Python, etc.).
• Understanding of Infrastructure as Code (IaC) and modern platform engineering concepts.
• Strong troubleshooting, communication, and collaboration skills.

Responsibilities

• Design, implement, and support CI/CD pipelines to enable efficient application delivery.
• Administer and maintain Azure DevOps (ADO) environments, including repositories, pipelines, and build processes.
• Support application build, deployment, and release management activities across multiple environments.
• Lead and support migration efforts from Azure DevOps to GitHub, including repository and pipeline modernization.
• Automate infrastructure, deployment, and operational processes to improve reliability and scalability.
• Troubleshoot and resolve build, deployment, and platform-related issues.
• Collaborate with development, infrastructure, and security teams to implement DevOps best practices.
• Monitor and optimize platform performance, availability, and deployment efficiency.

Skills

Azure DevOps

CI/CD pipelines

Build automation

GitHub

Git

PowerShell

Bash

Python

IaC

Collaboration

Tools

Docker

Kubernetes

Job description

Job Description: We are seeking a Systems/DevOps Engineer to support and enhance our cloud-based development and deployment ecosystem. This role will focus on designing, maintaining, and optimizing CI/CD pipelines, managing Azure DevOps (ADO) environments, supporting build and release processes.

Key Responsibilities

• Design, implement, and support CI/CD pipelines to enable efficient application delivery.
• Administer and maintain Azure DevOps (ADO) environments, including repositories, pipelines, and build processes.
• Support application build, deployment, and release management activities across multiple environments.
• Lead and support migration efforts from Azure DevOps to GitHub, including repository and pipeline modernization.
• Automate infrastructure, deployment, and operational processes to improve reliability and scalability.
• Troubleshoot and resolve build, deployment, and platform-related issues.
• Collaborate with development, infrastructure, and security teams to implement DevOps best practices.
• Monitor and optimize platform performance, availability, and deployment efficiency.

Required Qualifications

• Experience with Azure DevOps, CI/CD pipeline development, and release management.
• Strong understanding of build and deployment automation practices.
• Experience supporting cloud-based environments, preferably Microsoft Azure.
• Hands-on experience with source control platforms such as GitHub and Git.
• Knowledge of scripting and automation tools (PowerShell, Bash, Python, etc.).
• Understanding of Infrastructure as Code (IaC) and modern platform engineering concepts.
• Strong troubleshooting, communication, and collaboration skills.

Preferred Qualifications

• Experience migrating CI/CD processes from Azure DevOps to GitHub Actions.
• Knowledge of containerization technologies such as Docker and Kubernetes.
• Familiarity with cloud security, monitoring, and operational best practices.

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.