Azure DevOps Engineer

Patterson-UTI • Houston, TX

23h

About The Position

Detailed Description: Design, implement, and maintain CI/CD pipelines supporting embedded systems, backend services, and operator interface applications. Automate build, test, and deployment processes across development, staging, and production environments. Support infrastructure for both cloud-based services and on-premise or field-deployed systems. Collaborate with software developers to improve deployment reliability, release repeatability, and environment consistency. Implement monitoring, logging, and alerting solutions to support operational visibility and incident response. Troubleshoot deployment failures, environment inconsistencies, and performance bottlenecks. Support secure software delivery practices including artifact management, access controls, secrets management, and secure configuration standards. Utilize AI development tools to assist in scripting, infrastructure-as-code development, log analysis, and root cause investigations. Evaluate AI-generated scripts and automation logic for accuracy, security implications, and operational risk. Contribute to documentation of infrastructure architecture, deployment workflows, and operational runbooks. Participate in post-incident reviews and contribute to continuous improvement of system reliability. Support field deployments and remote troubleshooting as required. Perform other related duties and special projects, as assigned.

Requirements

• Demonstrated ability to design and maintain reliable CI/CD pipelines.
• Strong understanding of version control systems and branching strategies.
• Experience with infrastructure-as-code principles and automation scripting.
• Working knowledge of containerization and/or virtualization technologies.
• Experience implementing monitoring and observability solutions.
• Strong troubleshooting skills across application, infrastructure, and network layers.
• Ability to work effectively in a cross-functional environment including software, hardware, and controls teams.
• Strong verbal and written communication skills with the ability to clearly document processes and communicate technical risks.
• Ability to manage multiple initiatives in a fast-paced development environment.
• Experience using AI-assisted tools to accelerate scripting, troubleshooting, and documentation.
• Represent the Company and its values with integrity while maintaining high professional and ethical standards in all interactions .
• Bachelor’s Degree or Diploma in Computer Science, Computer Engineering, Information Systems, or related field (or equivalent practical experience).
• 3–6 years of experience in DevOps, Site Reliability Engineering (SRE), or related role.
• Experience with CI/CD tools and automation frameworks.
• Experience administering Linux and/or Windows server environments.
• Experience working within Agile development teams.

Nice To Haves

• Experience supporting systems that interact with hardware or field-deployed equipment.
• Familiarity with real-time or near-real-time software deployment constraints.
• Experience with cloud platforms and hybrid infrastructure models.
• Exposure to industrial or Oil & Gas environments.
• Experience implementing security best practices in regulated or operationally sensitive environments.
• Experience leveraging AI tools for log analysis, pipeline optimization, or operational automation.

Responsibilities

• Design, implement, and maintain CI/CD pipelines supporting embedded systems, backend services, and operator interface applications.
• Automate build, test, and deployment processes across development, staging, and production environments.
• Support infrastructure for both cloud-based services and on-premise or field-deployed systems.
• Collaborate with software developers to improve deployment reliability, release repeatability, and environment consistency.
• Implement monitoring, logging, and alerting solutions to support operational visibility and incident response.
• Troubleshoot deployment failures, environment inconsistencies, and performance bottlenecks.
• Support secure software delivery practices including artifact management, access controls, secrets management, and secure configuration standards.
• Utilize AI development tools to assist in scripting, infrastructure-as-code development, log analysis, and root cause investigations.
• Evaluate AI-generated scripts and automation logic for accuracy, security implications, and operational risk.
• Contribute to documentation of infrastructure architecture, deployment workflows, and operational runbooks.
• Participate in post-incident reviews and contribute to continuous improvement of system reliability.
• Support field deployments and remote troubleshooting as required.
• Perform other related duties and special projects, as assigned.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level