AI DevOps Engineer – Global

Job not on LinkedIn

🔥 0 minutes ago

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

⛑ DevOps & Site Reliability Engineer (SRE)

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

MGT

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 1974

📚 Education

🔒 Cybersecurity

🏢 Enterprise

Education • Cybersecurity • Enterprise

MGT is a leading provider of specialized technology and advisory solutions focused on improving performance and efficiency in education systems, state and local government, and critical infrastructure. With over 50 years of experience, MGT combines advanced IT managed services with trusted advisory expertise to tackle mission-critical issues such as cybersecurity, data protection, and digital transformation. Their commitment to social impact drives their efforts to enhance communities by shaping educational practices and optimizing public services.

📋 Description

• Build, maintain, and optimize CI/CD pipelines for AI and machine learning deployments. • Deploy and manage containerized AI workloads using Docker and Kubernetes. • Monitor production environments, model performance, infrastructure health, and system reliability. • Collaborate with AI engineers, data scientists, and solution architects to streamline deployment processes. • Implement Infrastructure-as-Code practices to improve scalability, consistency, and reproducibility. • Manage cloud infrastructure and platform services across AWS, Azure, and GCP environments. • Enforce security, compliance, and access control standards for AI systems. • Troubleshoot infrastructure and deployment issues while supporting incident response efforts. • Create and maintain operational documentation, deployment procedures, and technical runbooks. • Improve observability, monitoring, logging, and alerting frameworks for AI platforms.

🎯 Requirements

• Hands-on experience deploying and managing machine learning models in production environments • Strong knowledge of containerization technologies and orchestration platforms • Experience building and maintaining CI/CD pipelines • Hands-on experience with Infrastructure-as-Code tools and cloud-native environments • Familiarity with monitoring, logging, and observability solutions • Strong understanding of security best practices for cloud and AI infrastructure • Excellent written and verbal English communication skills • Ability to work independently in a fully remote, U.S.-aligned environment • Strong troubleshooting, problem-solving, and cross-functional collaboration skills • Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field preferred, or equivalent professional experience. • Three (3) or more years of experience in DevOps, MLOps, platform engineering, or related infrastructure roles. • Experience working with government, education, or other regulated public sector organizations preferred. • Familiarity with compliance frameworks such as FedRAMP, NIST, or similar regulatory standards preferred. • Experience supporting LLM deployment pipelines, generative AI infrastructure, or AI platforms preferred. • Experience with MLOps frameworks and model lifecycle management preferred. • Cloud certifications, including AWS, Azure, or GCP, are a plus. • Experience working in consulting or client-facing technical environments preferred.

🏖️ Benefits

• Flexible paid time off • 5% 401K matching program • Equity opportunities • Incentive and bonus programs • Up to 16 weeks of paid parental leave • Flexible spending accounts • Full-health benefits with base employee coverage fully funded, comprising: • Medical, dental, and vision coverage • Life insurance • Short and long-term disability coverage • Income protection benefits