DevSecOps Architect

A.C.Coy Company

DevSecOps Architect designing and building a self-healing DevSecOps ecosystem with AI automation for security. Focused on ensuring rapid deployment and uncompromising security standards for U.S.

Posted 5/5/2026contractRemote • Virginia • 🇺🇸 United StatesSeniorLeadWebsite

Tech Stack

Tools & technologies

AWSAzureCloudGoGoogle Cloud PlatformJenkinsKubernetesPrometheusPythonTerraform

About the role

Key responsibilities & impact

Lead the evolution of the software delivery lifecycle by embedding security into every stage of the CI/CD pipeline
Architect and maintain automated CI/CD pipelines that utilize AI/ML models for static and dynamic analysis (SAST/DAST) to identify complex vulnerabilities that traditional rule-based tools miss
Design security frameworks for the end-to-end AI lifecycle, including securing data ingestion, protecting model weights, and implementing 'Guardrail' architectures for Large Language Models (LLMs)
Develop AI-driven orchestration (SOAR) to automate the triage and remediation of security findings, reducing manual overhead for engineering teams
Implement enterprise-wide governance using tools like Open Policy Agent (OPA) to enforce security compliance automatically across multi-cloud environments
Conduct advanced threat modeling for cloud-native applications, specifically accounting for AI-specific attack vectors like model inversion or data poisoning
Create self-service security tools and 'Golden Paths' that allow developers to deploy securely without friction, fostering a proactive security culture
Achieve 90% automated security coverage across all production-bound code
Utilize AI to reduce vulnerability remediation time by 40% within the first year

Requirements

What you’ll need

A degree from an accredited College/University in the applicable field of services is required
10+ years of overall IT experience, with 5+ years dedicated to DevSecOps leadership in high-scale environments
Proven track record of implementing AI/ML to solve operational or security challenges
Expert-level experience with Kubernetes, Terraform/Pulumi, and cloud platforms (AWS, Azure, or GCP)
Mastery of integrating SAST, DAST, SCA, and Secret Scanning into GitHub Actions, GitLab CI, or Jenkins
Hands-on experience securing MLOps pipelines and implementing security for AI-integrated APIs
Proficiency in Python, Go, or Bash for building custom security automation and AI-driven scripts
Deep knowledge of eBPF, Prometheus, and AI-powered logging/monitoring tools (e.g., Dynatrace or Datadog)
Strong ability to bridge the gap between 'Speed of DevOps' and 'Rigors of Security' while communicating clearly with executive leadership
Excellent communication skills

Benefits

Comp & perks

Must be able to pass a drug screening, criminal history, and credit checks
Must be a US Citizen or have permanent residence status (Green Card)
Must be able to obtain a Position of Public Trust Clearance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

DevSecOpsAI/MLKubernetesTerraformPulumiSASTDASTPythonGoBash

Soft Skills

leadershipcommunicationcollaborationproblem-solvingproactive security culture