Senior DevOps Engineer: AI Infra & CI/CD Architect

Gormat; Corridor North (MD); On-site; USD 150,000 - 210,000; Full time

Job summary

Gormat in Corridor North, MD seeks a Senior DevOps Engineer to drive enterprise AI infra and deployment workflows. You will design scalable cloud infrastructure, implement robust CI/CD pipelines, and partner with AI/ML teams to accelerate model development and rollout.

Ideal candidates have deep DevOps expertise, strong containerization skills, and experience with AI lifecycle management in AWS/Azure environments. The role emphasizes security, performance, and scalability.

Qualifications

• 12+ years of experience in a technical field, or 10+ with a Master's degree.
• Advanced proficiency in DevOps principles and practices.
• Demonstrated expertise with Docker and Kubernetes.
• Proven experience architecting and managing CI/CD pipelines.
• Extensive experience with AI model lifecycle management.
• Familiarity with AWS and Azure cloud platforms.
• Experience with monitoring/logging tools (Prometheus, Grafana, ELK).

Responsibilities

• Design, implement, and maintain infrastructure for enterprise AI apps in cloud environments (AWS, Azure).
• Develop and optimize engineering workflows to support AI model development and deployment.
• Architect and manage CI/CD pipelines for AI models and applications.
• Implement and manage containerization with Docker and Kubernetes.
• Ensure efficient AI model lifecycle management including versioning, monitoring, and scaling.
• Collaborate with AI/ML engineers to streamline deployment and optimize resources.
• Oversee system performance, security, and scalability of AI infrastructure.
• Research and adopt new DevOps tools and practices to improve efficiency.

Skills

DevOps expertise

Cross-functional collaboration

Communication

Education

Bachelor's or Master's degree in a relevant field

Tools

Docker

Kubernetes

CI/CD pipelines

Prometheus

Grafana

ELK stack

Terraform

Ansible

Job description

Gormat in Corridor North, MD seeks a Senior DevOps Engineer to drive enterprise AI infra and deployment workflows. You will design scalable cloud infrastructure, implement robust CI/CD pipelines, and partner with AI/ML teams to accelerate model development and rollout.

Ideal candidates have deep DevOps expertise, strong containerization skills, and experience with AI lifecycle management in AWS/Azure environments. The role emphasizes security, performance, and scalability.