Remote DevSecOps Engineer for AI Platforms

KMJJ Enterprise LLC - Client Company; United States; On-site; USD 120,000 - 160,000; Full time

Job summary

KMJJ Enterprise LLC - Client Company is seeking a DevSecOps Engineer - AI to architect, deploy, and secure scalable AI development platforms. You will implement CI/CD pipelines, IaC, and advanced security practices across Azure, Kubernetes, and serverless components.

The role requires deep expertise in DevSecOps, cloud automation, and MLOps, with strong communication for customer-facing engagements. Remote work is supported with international scope for a high-security development environment.

Qualifications

• BS degree with 7+ years of experience in DevSecOps or related field.
• Experience with Azure is a must.
• Experience with AI Foundry, LangChain, and LangGraph.
• Experience with BrownMM DevSecOps toolchain is a plus.
• Strong communication skills and customer-facing polish.
• 5+ years of experience across Agile lifecycle frameworks.
• CI/CD automation using Jenkins, GitLab CI, or similar.
• Git-based version control familiarity.
• Relational databases and SQL, NoSQL data stores.
• Automation of backup, recovery, high availability, no-downtime approaches.
• Federal security practices including OWASP, Zero-trust, encryption at rest and in transit.
• FISMA high-security controls.

Responsibilities

• Develop and configure software and CI/CD pipelines to support pilot development and service integration, and establish DevSecOps practices for AI Development Framework.
• Build platforms and automated delivery pipelines using Azure services, Serverless frameworks, Kubernetes, containerization, and microservices.
• Create infrastructure-as-code solutions to promote services through dev/test/prod environments.
• Collaborate with customers and teams in an Agile lifecycle to refine platform and application requirements.
• Follow DevSecOps best practices for security integration, IaC, operations visibility, and Site Reliability Engineering.
• Harden and ensure security and accreditation of a multitenant development platform.
• Use automation to provision cloud environments.
• Develop service integrations and data pipelines for AI/ML models.
• Translate business requirements into efficient technical solutions.
• Support documentation of systems and processes as needed.
• Learn new technologies quickly and assist teammates with implementation.

Skills

Azure

Kubernetes

CI/CD

Jenkins

GitLab CI

Terraform

LangChain

LangGraph

BrownMM DevSecOps

OWASP

Zero Trust

FISMA

Security Automation

MLOps

Agile

Education

Bachelor's degree

Tools

Terraform

Kubernetes

Azure AI Framework Terrafor

Jenkins

GitLab CI

Job description

KMJJ Enterprise LLC - Client Company is seeking a DevSecOps Engineer - AI to architect, deploy, and secure scalable AI development platforms. You will implement CI/CD pipelines, IaC, and advanced security practices across Azure, Kubernetes, and serverless components.

The role requires deep expertise in DevSecOps, cloud automation, and MLOps, with strong communication for customer-facing engagements. Remote work is supported with international scope for a high-security development environment.