DevOps Engineer (AI-Enabled Engineering)

Key Responsibilities

• Develop, maintain, and optimize CI/CD pipelines for software build, test, release, and deployment activities.
• Configure and maintain source control, build, release, and ALM tools, including GitHub Enterprise and related integrations.
• Support cloud-based and containerized engineering environments using Azure, AWS, Docker, Kubernetes, or similar technologies.
• Troubleshoot and resolve build, integration, deployment, and platform-related issues.
• Implement automation solutions for software development, testing, validation, reporting, and engineering workflows.
• Develop reusable scripts, tools, and automation frameworks using Python, PowerShell, Bash, or similar programming languages.
• Design, develop, integrate AI-enabled engineering solutions that improve software development efficiency, quality, and productivity.
• Utilize AI-assisted development tools to improve code quality, documentation, testing, and engineering productivity.
• Collaborate with software development and validation teams to improve engineering productivity and software delivery processes.
• Evaluate and adopt new tools and technologies that improve engineering efficiency.
• Document processes, solutions, standards, and best practices.

Required Qualifications

• Bachelor's degree in Computer Science, Software Engineering, Computer Engineering, Electrical Engineering, or a related field.
• 2-5 years of experience in DevOps, software development, build and release engineering, software automation, or related engineering disciplines.
• Experience developing and maintaining CI/CD pipelines using GitHub Actions, Jenkins, Azure DevOps, or similar platforms.
• Experience using GitHub Enterprise, Git, and modern source control practices.
• Experience with cloud platforms such as Azure or AWS.
• Experience with container technologies such as Docker.

Knowledge, Skills, and Abilities

• Proficiency in Python and at least one scripting language such as PowerShell or Bash.
• Familiarity with AI-assisted development tools such as GitHub Copilot, Claude, or comparable technologies.
• Strong troubleshooting, analytical, and problem-solving skills.
• Strong communication and collaboration skills.

Preferred Qualifications

• Experience with Kubernetes, OpenShift, Helm, Terraform, or Bicep.
• Experience developing automation tools, engineering productivity solutions, or AI-enabled workflows.
• Experience with AI-assisted software engineering technologies, including Large Language Models (LLMs), AI agents, Retrieval-Augmented Generation (RAG), prompt engineering, or related AI automation solutions.
• Experience with Azure AI services, Azure OpenAI, GitHub Copilot, or similar platforms.
• Experience using Jira, Confluence, DOORS, Nexus, Artifactory, Polyspace, or QAC.
• Experience supporting embedded software development environments.
• Knowledge of Agile, V-model, ASPICE, AUTOSAR, ISO 26262, ISO 21434

Benefits Summary

• Medical, Dental, Vision, Prescription Drug plans
• 401K with 4% Company Match
• Vacation/PTO and 13 paid Holidays
• Bonus Program
• FSA/HSA and Dependent Care Programs
• Company provided Life, Disability, ADD and Business Travel Insurance
• Various No Cost Wellness & Chronic Condition Management Programs
• Various Optional Insurance programs such as legal, identity theft, critical illness, etc.
• Tuition Reimbursement
• Career Development and Ongoing Training
• Employee Assistance Program
• Employee Spotlight and Recognition Program
• Volunteer Opportunities
• Onsite Fitness Center (vary by location)
• Cafeteria and food markets (vary by location)
• Onsite Health Clinic and Pharmacy (vary by location)

Annual Salary

$107,000 - $133,000