DevOps & Automation Engineer
About The Position
Team Red Dog is hiring a DevOps & Automation Engineer for a client described as a global technology leader and AI-driven technology organization advancing innovation across Windows, devices, and intelligent computing. This hands-on role supports an applied science team developing AI models and datasets for AI model training. The engineer will design and optimize CI/CD pipelines, build Python automation tools, and manage cloud infrastructure and deployment workflows for AI model development and delivery. The position spans DevOps, Azure infrastructure, automation, release engineering, and engineering operations. The engineer will work with software engineers and technical teams to improve developer productivity, system reliability, and software delivery. The role is 100% onsite in Redmond, Washington, five days per week. It is a W-2 contract opportunity through June 30, 2027, with potential extension up to 18 months total, subject to performance, budget, and client discretion. The estimated start date is immediately. Compensation is $45–$47 per hour.
Requirements
- Bachelor's degree.
- At least 2 years of hands-on experience in DevOps engineering, CI/CD, build engineering, or release engineering.
- Strong Python programming and scripting skills, including experience developing practical automation solutions.
- Experience with Microsoft Azure or another major cloud platform.
- Proficiency with Git and modern source-control workflows.
- Experience with CI/CD platforms such as Azure DevOps, GitHub Actions, Jenkins, or equivalent technologies.
- Solid understanding of software build, testing, deployment, and release processes.
- Experience diagnosing and resolving infrastructure, build, deployment, and environment issues.
- Familiarity with Windows and/or Linux operating environments.
- Ability to independently investigate technical challenges and implement effective solutions.
- Strong technical communication, collaboration, and documentation skills.
Nice To Haves
- Experience with Azure DevOps and GitHub.
- Familiarity with Docker, Kubernetes, or other containerization and orchestration technologies.
- Experience with Infrastructure-as-Code tools such as Terraform, Bicep, ARM templates, or Ansible.
- Knowledge of monitoring, logging, observability, and alerting systems.
- Understanding of networking, identity and access management, certificates, secrets management, and cloud security.
- Experience supporting development, testing, staging, and production environments.
- Previous experience at Microsoft or another large-scale technology organization.
- Interest in AI infrastructure and model deployment pipelines.
Responsibilities
- Design, build, maintain, and optimize CI/CD pipelines for software development and delivery.
- Automate software builds, testing, validation, packaging, deployments, and release processes.
- Develop Python scripts and automation tools for engineering and operational workflows.
- Provision, configure, and maintain Azure cloud resources and development environments.
- Support infrastructure and automation for AI model development, training datasets, and deployment pipelines.
- Manage source control, branching strategies, build systems, artifact management, and release workflows.
- Implement Infrastructure-as-Code and configuration automation to improve deployment consistency.
- Manage dependencies, environment configurations, credentials, secrets, and deployment settings.
- Configure and maintain monitoring, logging, alerting, and operational health checks.
- Troubleshoot CI/CD, infrastructure, networking, deployment, configuration, and environment issues.
- Support containerized applications and deployment environments as needed.
- Identify repetitive engineering processes and automate them to reduce manual effort.
- Collaborate with software engineers and technical teams to improve developer productivity and system reliability.
- Create and maintain technical documentation, operational procedures, and troubleshooting guides.
- Evaluate and implement tools and technologies that improve engineering workflows.
Benefits
- Health insurance, including medical, dental, vision, and life insurance.
- Employer-matched 401(k) plan.
- Paid time off.
- Flexible paid holiday benefit.
- Generous benefits package for qualified employees.
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What This Job Offers
Career Level
Mid Level
