Devops Engineer

Job Title: AI DevOps Engineer FLSA Status: Exempt Full-Time Location: Remote - LATAM WHO WE ARE: MGT is a leading provider of technology and advisory solutions serving state, local, and education government agencies (SLED) across the United States. Through client partnerships, MGT’s almost 1,200 employees impact communities for good by managing and securing critical networks, solving complex human capital and fiscal problems, elevating education systems, and advancing equity as a performance imperative. MGT partners with thousands of agencies as a trusted advisor delivering solutions that improve technology, operational, and economic performance to help communities thrive. Founded in 1975, MGT initiated an ambitious restart in 2016, broadening the solutions portfolio to provide the most specialized solutions, tackling the most mission-critical problems that live at the top of the public agency leadership agenda. MGT drives over 20% compound annual organic growth and utilizes programmatic mergers and acquisitions to grow capabilities, attract top talent, and accelerate growth scale. Since 2020, MGT has successfully completed 13 acquisitions, driving over 60% compound annual inorganic growth. Celebrating its 50th year in 2025, the firm attracts exceptional talent and empowers them to exceed client expectations as they navigate the dynamic demands of the clients we serve. Hear more about MGT’s culture in the words of our employees . WHAT YOU’LL DO: The AI DevOps Engineer will join MGT's AI Operating Group, a team focused on building and deploying AI-powered solutions for state and local government, education, and other public sector organizations. This role bridges the gap between AI development and production infrastructure, ensuring that machine learning models, AI applications, and data pipelines are deployed securely, reliably, and at scale. The ideal candidate combines strong DevOps expertise with experience supporting AI and machine learning workloads in cloud-native environments. In this role, you will: 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. WHAT YOU’LL BRING: 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. EDUCATION AND EXPERIENCE: 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. TECH STACK: Python Docker Kubernetes Terraform GitHub Actions AWS / Azure / GCP MLflow Apache Airflow Prometheus Grafana Ansible SUCCESS MILESTONES: 30 Days Gain familiarity with MGT's AI platforms, cloud environments, and deployment standards. Understand active client engagements and operational workflows. Contribute to infrastructure improvements and deployment processes. 90 Days Independently manage AI deployment pipelines and production infrastructure. Improve automation, monitoring, and deployment reliability across projects. Support successful releases of AI and machine learning solutions for client engagements. 6 Months Lead infrastructure initiatives for complex AI deployments. Establish DevOps and MLOps best practices across the organization. Drive improvements in scalability, security, observability, and operational excellence. Serve as a technical resource for AI platform architecture and deployment strategy. CORE SKILLS: DevOps and MLOps Cloud Infrastructure Management Kubernetes and Container Orchestration CI/CD Pipeline Development Infrastructure as Code AI and Machine Learning Deployment Monitoring and Observability Security and Compliance Problem Solving and Troubleshooting Communication and Cross-Functional Collaboration Ownership and Execution WHAT WE OFFER: Our world-class work environment encompasses flexible and remote work options, a commitment to equity, and nationally respected teams in management consulting and technology services. We also offer opportunities to make a profound social impact through innovative projects, and professional development opportunities for career growth. Here you can read more about our extensive Employee Value Proposition (EVP). Specifically, we will offer you a competitive compensation package including: 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 MGT Impact Solutions, LLCis an equal opportunity employer. We will not discriminate against any employee or applicant for employment on the basis of race, color, religion, sex, national origin, age, disability, marital status, genetic information, sexual orientation, pregnancy, gender identity, or any other characteristic or class protected by law.