Senior AI DevOps Engineer – TS/SCI

Synergy ECP; Columbia (MD); On-site; USD 150,000 - 250,000; Full time

Benefits offered by this job

Health Benefits

401K Retirement plan

Generous Paid Time Off

Volunteer and charitable activities support

Job summary

A cybersecurity and IT services provider in Columbia, Maryland, seeks a Senior DevOps Engineer to deploy and maintain infrastructure for enterprise AI applications. The ideal candidate will leverage extensive experience in DevOps principles, containerization technologies like Docker and Kubernetes, and CI/CD pipeline management. This role also requires robust collaboration with cross-functional teams to enhance AI model lifecycle management. Competitive compensation ranges from $150,000 to $250,000, with benefits including health, retirement plans, and flexible work options.

Qualifications

• Advanced proficiency in DevOps principles and practices.
• Demonstrated expertise in containerization using Docker and Kubernetes.
• Proven experience in architecting and managing CI/CD pipelines.

Responsibilities

• Design, implement, and maintain infrastructure for AI applications in cloud environments.
• Develop and optimize engineering workflows for AI model development.
• Collaborate with AI/ML engineers to streamline deployment processes.

Skills

DevOps principles

Containerization

CI/CD pipeline architecture

AI model lifecycle management

Excellent communication skills

Education

B.S. in a relevant technical field with 12 years of experience

M.S. in a relevant technical field with 10 years of experience

Tools

Docker

Kubernetes

AWS

Microsoft Azure

Terraform

Prometheus

Grafana

ELK stack

Job description

A cybersecurity and IT services provider in Columbia, Maryland, seeks a Senior DevOps Engineer to deploy and maintain infrastructure for enterprise AI applications. The ideal candidate will leverage extensive experience in DevOps principles, containerization technologies like Docker and Kubernetes, and CI/CD pipeline management. This role also requires robust collaboration with cross-functional teams to enhance AI model lifecycle management. Competitive compensation ranges from $150,000 to $250,000, with benefits including health, retirement plans, and flexible work options.