Cloud Devops Engineer

Blueprint is hiring a Cloud DevOps Engineer to build and maintain infrastructure, automation tools, and deployment pipelines supporting software development and AI model training workflows. The role focuses on cloud infrastructure, Python automation, CI/CD, troubleshooting, and improving the reliability and efficiency of engineering delivery.

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

Preferred

• 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
• GitHub
• Docker
• Containerized Environments
• Kubernetes
• Container Orchestration
• Terraform
• Bicep
• ARM Templates
• Ansible
• Monitoring
• Logging
• Observability
• Alerting Solutions
• Access Management
• Certificates
• Secrets Management
• Cloud Security
• Development Environments
• Testing Environments
• Staging Environments
• Production Environments
• AI Model Training Automation
• Deployment Pipelines
• Machine Learning Engineering Workflows
• Large-Scale Technology Environments
• Enterprise Engineering Environments

Benefits

• Medical, dental, and vision coverage
• Flexible Spending Account
• 401k program
• Competitive PTO offerings
• Parental Leave
• Opportunities for professional growth and development

Company

• Enterprise cloud and data optimization for digital transformation
• Bellevue, Washington, USA
• https://bpcs.com/
• Founded in 2013
• 501-1000 employees

Qualifications

• Bachelor's degree in a technical or related field
• 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
• 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
• 2+ years of hands-on experience in DevOps, CI/CD, build engineering, or release engineering.

Required skills

• Ansible, Azure DevOps, CI/CD, Docker, Git, GitHub Actions, Jenkins, Kubernetes, Microsoft Azure, Python, Terraform, Windows and Linux

Preferred skills

• Experience with Azure DevOps and GitHub

Experience

• 2+ years