Junior Azure DevOps Engineer

Blueprint Technologies•Redmond, WA

11h•$40 - $45•Onsite

About The Position

Blueprint is a technology solutions firm headquartered in Bellevue, Washington, with teams across the United States. It helps organizations connect strategy and execution across AI, cloud, data, product development, and emerging technology. In this hands-on role, you will design, build, and maintain infrastructure, automation tools, and deployment pipelines that support software development and AI model training workflows. The position combines DevOps engineering, Python automation, cloud infrastructure, and build and release engineering to improve reliability, reduce manual work, and help engineering teams deliver software efficiently. You will troubleshoot technical issues, automate repetitive processes, and support end-to-end development and deployment workflows in a collaborative, fully onsite engineering environment in Redmond, Washington. Blueprint describes its culture as focused on exceptional work, ownership, high standards, continuous improvement, mutual support, and meaningful challenges. The posted Washington State pay range is $40–$45 per hour. Actual starting pay depends on experience, skills, and internal equity; the final salary and job title may vary with the selected candidate’s qualifications. Benefits and eligibility may vary by role, employment status, and location.

Requirements

Bachelor's degree in a technical or related field.
At least 2 years of hands-on experience in DevOps, CI/CD, build engineering, or release engineering.
Strong Python programming and scripting skills.
Experience with Microsoft Azure or another major cloud platform.
Experience with Git and modern source control workflows.
Hands-on experience with CI/CD tools such as Azure DevOps, GitHub Actions, Jenkins, or equivalent platforms.
Understanding of software build, testing, deployment, and release processes.
Experience troubleshooting infrastructure, build, deployment, and environment issues.
Familiarity with Windows and/or Linux operating environments.
Ability to independently investigate technical problems, identify root causes, and implement solutions.
Strong technical communication, documentation, and cross-functional collaboration skills.

Nice To Haves

Experience with Azure DevOps and GitHub.
Experience with Docker and containerized application environments.
Familiarity with Kubernetes or other container orchestration technologies.
Experience with Infrastructure as Code tools such as Terraform, Bicep, ARM templates, or Ansible.
Experience with monitoring, logging, observability, and alerting solutions.
Familiarity with networking, identity and access management, certificates, secrets management, and cloud security.
Experience supporting development, testing, staging, and production environments.
Experience building automation for AI model training, deployment pipelines, or other machine learning engineering workflows.
Experience working in large-scale technology or enterprise engineering environments.

Responsibilities

Design, build, maintain, and optimize continuous integration and continuous delivery (CI/CD) pipelines.
Automate software build, testing, validation, packaging, deployment, and release processes.
Develop Python scripts and automation tools to streamline engineering and operational workflows.
Provision, configure, and maintain cloud infrastructure and development environments.
Manage source control, branching strategies, build systems, artifact management, and release workflows.
Implement and maintain Infrastructure as Code (IaC) and configuration automation.
Manage software dependencies, environment configurations, credentials, secrets, and deployment settings.
Configure and maintain monitoring, logging, alerting, and operational health checks.
Troubleshoot build failures, deployment issues, infrastructure problems, networking, and environment configuration challenges.
Improve system reliability, deployment consistency, release quality, and developer productivity through automation.
Support containerized applications and deployment environments where applicable.
Identify repetitive manual processes and develop automated solutions to improve engineering efficiency.
Collaborate with software engineers and technical stakeholders to improve development, testing, and deployment workflows.
Create and maintain technical documentation, operational procedures, and troubleshooting guides.
Evaluate and implement tools and technologies that improve automation, infrastructure management, and engineering workflows.