Build, operate, and optimize Azure-based cloud infrastructure that enables large scale AI data workflows. As an Azure DevOps Engineer on the core team, you will design and maintain CI/CD pipelines, run container orchestration, automate operations, and work cross-functionally to deliver reliable, secure deployments for a remote-first company focused on training and evaluating frontier AI models.

• Design, implement, and manage scalable, secure cloud infrastructure on Microsoft Azure.
• Develop and maintain CI/CD pipelines using Azure DevOps tools to ensure reliable application delivery.
• Orchestrate and manage containerized applications with Kubernetes and Docker.
• Monitor system performance, automate operational tasks, and proactively resolve incidents.
• Collaborate closely with development teams to streamline deployments and improve operational efficiency.
• Ensure system security, compliance, and implement reliable backup and recovery strategies.
• Document processes and technical solutions, and communicate findings clearly to technical and non-technical stakeholders.

• Minimum 5 years of hands-on experience in DevOps roles, with a strong focus on Azure cloud environments.
• Deep expertise in Azure DevOps tools and services.
• Advanced proficiency with Kubernetes and Docker for orchestration and container management.
• Proven experience designing and optimizing CI/CD pipelines.
• Solid understanding of infrastructure automation, monitoring, and troubleshooting.
• Excellent written and verbal communication skills, with a collaborative mindset.
• Strong problem-solving skills, attention to detail, and a proactive approach to continuous improvement.

Preferred Qualifications

• Familiarity with additional cloud platforms such as GCP and AWS.
• Experience supporting large-scale, distributed systems.
• Relevant Azure or Kubernetes certifications are a plus.

• Employment type: Full-time.
• Work location: Remote, United States.
• Role is part of the core engineering team and requires close collaboration across distributed teams.

• Listed compensation in the role header: $200, 000 to $300, 000 per year.
• Compensation notice: national base salary range for this full-time position is $160, 000 to $220, 000 per year.
• All employees are eligible for equity compensation. Employees may also receive performance-based bonuses, subject to role and company policies.
• Benefits highlights include up to 100% reimbursement for health insurance premiums, paid time off, and a 401(k) plan with company match, among other remote-first workforce benefits.

• The company is an equal opportunity employer and will consider all qualified applicants without regard to protected characteristics under applicable law.
• If you need assistance or a reasonable accommodation during the application process, contact support@micro1.ai.
• Note: the hiring process uses artificial intelligence tools.