DevSecOps Engineer
Optomi, Baltimore, MD, United States
DevSecOps Engineer Job Description
Optomi, in partnership with a leading AI/ML platform development company, is looking for a Senior DevOps / MLOps Engineer and a DevSecOps Engineer to join their dynamic team.
Position Summary
Two active openings are available on the MLOps team due to increased strategic initiatives and incoming project work. These roles focus on supporting AI/ML platform development and deployment. The DevSecOps Engineer will be focused on emphasizing security within AI/ML platforms specifically.
What the right candidate will enjoy
Working on cutting-edge AI/ML projects
Collaborating with a team with strong tenure
Operating in a remote work environment with EST hours
What type of experience does the right candidate have
Approximately 7–8 years of industry experience
Strong background in Kubernetes (K8s)
Experience with EKS (Kubernetes), CI/CD pipelines, and ML model deployment
What the responsibilities are of the right candidate
Implementing MLOps practices
Deploying and managing ML models
Securing ML pipelines and infrastructure
Enhancing security posture of AI/ML platforms
Collaborating in strategic initiatives to drive project success
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Optomi, in partnership with a leading AI/ML platform development company, is looking for a Senior DevOps / MLOps Engineer and a DevSecOps Engineer to join their dynamic team.
Position Summary
Two active openings are available on the MLOps team due to increased strategic initiatives and incoming project work. These roles focus on supporting AI/ML platform development and deployment. The DevSecOps Engineer will be focused on emphasizing security within AI/ML platforms specifically.
What the right candidate will enjoy
Working on cutting-edge AI/ML projects
Collaborating with a team with strong tenure
Operating in a remote work environment with EST hours
What type of experience does the right candidate have
Approximately 7–8 years of industry experience
Strong background in Kubernetes (K8s)
Experience with EKS (Kubernetes), CI/CD pipelines, and ML model deployment
What the responsibilities are of the right candidate
Implementing MLOps practices
Deploying and managing ML models
Securing ML pipelines and infrastructure
Enhancing security posture of AI/ML platforms
Collaborating in strategic initiatives to drive project success
#J-18808-Ljbffr