Senior DevOps Engineer

Gormat; Maryland; On-site; USD 120,000 - 180,000; Full time

Job summary

Gormat is seeking a highly experienced Senior DevOps Engineer to lead infrastructure and workflows for enterprise AI rollouts. You will deploy scalable AI applications in cloud environments and design robust CI/CD pipelines to support model development, deployment, and maintenance.

The ideal candidate has deep DevOps expertise with containerization, AI lifecycle management, and strong collaboration with AI/ML teams to optimize resource use and performance.

Qualifications

• 12+ years in a technical role with a focus on DevOps or equivalent.
• Proficiency in containerization, CI/CD, and cloud deployments.
• Experience with AI model deployment and lifecycle management.

Responsibilities

• Design, implement, and maintain infrastructure for enterprise AI applications in cloud environments (AWS, Azure).
• Develop and optimize engineering workflows to support AI model development and maintenance.
• Architect and manage CI/CD pipelines for AI models and applications.
• Implement containerization using Docker and Kubernetes.
• Manage AI model lifecycle including versioning, monitoring, and scaling.
• Collaborate with AI/ML engineers to streamline deployments 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

Docker

Kubernetes

CI/CD

AI lifecycle

Cloud platforms

Monitoring

Communication

Education

B.S. in a relevant field

M.S. in a relevant field

Tools

Prometheus

Grafana

ELK Stack

Job description

Overview

Possesses and applies a comprehensive knowledge across key tasks and high impact assignments. Plans and leads major technology assignments. Evaluates performance results and recommends major changes affecting short-term project growth and success. Functions as a technical expert across multiple project assignments. May supervise others.

Position Overview

We are seeking a highly experienced and technically proficient Senior DevOps Engineer to play an integral role in our team, focusing on deploying infrastructure and engineering workflows and processes to support enterprise AI rollouts. This position requires deep expertise in DevOps principles, including containerization, CI/CD pipeline architecture, and AI model lifecycle management. The ideal candidate will be adept at ensuring robust, scalable, and efficient deployment and maintenance of AI applications at an enterprise scale.

What You\'ll Be Doing

• Design, implement, and maintain robust infrastructure for enterprise AI applications in cloud environments (AWS, Microsoft Azure)


• Develop and optimize engineering workflows and processes to support AI model development, deployment, and maintenance.


• Architect and manage CI/CD pipelines for continuous integration and continuous delivery of AI models and applications.


• Implement and manage containerization solutions using technologies like Docker and Kubernetes.


• Ensure efficient AI model lifecycle management, including versioning, monitoring, and scaling.


• Collaborate with AI/ML engineers and data scientists to streamline deployment processes and optimize resource utilization.


• Oversee system performance, security, and scalability of AI infrastructure.


• Continuously research and implement new DevOps tools and practices to enhance efficiency.

Required Experience

• B.S. in a relevant technical field with 12 years of experience, or M.S. in a relevant technical field with 10 years of experience.


• Advanced proficiency in DevOps principles and practices.


• Demonstrated expertise in containerization using Docker and Kubernetes.


• Proven experience in architecting and managing CI/CD pipelines.


• Extensive experience with AI model lifecycle management and maintenance.


• Familiarity with cloud platforms (AWS, Microsoft Azure) for infrastructure deployment and management.


• Familiarity with monitoring and logging tools (e.g., Prometheus, Grafana, ELK stack).


• Excellent communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams.


• Ability to translate complex technical concepts into actionable engineering solutions.

Desired Skills

• Experience with infrastructure as code (IaC) tools (e.g., Terraform, Ansible).


• Understanding of machine learning concepts and their implications for infrastructure.


• Continuous learning mindset to stay abreast of cutting-edge DevOps and AI advancements.

TS/SCI With Polygraph Is Required.

Job Posted by ApplicantPro