Overview

  • Tier One Technologies is seeking a DevSecOps Architect to design and build a robust, self-healing DevSecOps ecosystem that balances rapid deployment with uncompromising security standards. The role focuses on leveraging Artificial Intelligence to automate threat detection, enhance code reviews, and secure AI-native applications for our direct U.S. Government client.
  • This remote contract-to-hire position will be originated in Falls Church, VA.
  • SELECTED CANDIDATES WITHOUT REQUIRED CLEARANCE WILL BE SUBJECT TO A FEDERAL GOVERNMENT BACKGROUND INVESTIGATION TO RECEIVE IT.

Responsibilities

  • Lead the evolution of the software delivery lifecycle by embedding security into every stage of the CI/CD pipeline.
  • AI-Enhanced Pipeline Security: 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.
  • Securing AI Workflows: 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).
  • Intelligent Automation: Develop AI-driven orchestration (SOAR) to automate the triage and remediation of security findings, reducing manual overhead for engineering teams.
  • Policy as Code (PaC): Implement enterprise-wide governance using tools like Open Policy Agent (OPA) to enforce security compliance automatically across multi-cloud environments.
  • Threat Modeling & Red Teaming: Conduct advanced threat modeling for cloud-native applications, specifically accounting for AI-specific attack vectors like model inversion or data poisoning.
  • Developer Empowerment: Create self-service security tools and "Golden Paths" that allow developers to deploy securely without friction, fostering a proactive security culture.
  • Shift Left: Achieve 90% automated security coverage across all production-bound code.
  • Mean Time to Remediate (MTTR): Utilize AI to reduce vulnerability remediation time by 40% within the first year.
  • Innovation: Stay at the forefront of the "AI for Security" and "Security for AI" movements

Qualifications

  • A degree from an accredited College/University in the applicable field of services is required. If the degree is not in the applicable field, then four additional years of related experience is required.
  • 10+ years of overall IT experience, with 5+ years dedicated to DevSecOps leadership in high-scale environments.
  • AI expertise: Proven track record of implementing AI/ML to solve operational or security challenges.
  • DevOps & Infrastructure requirements: Expert-level experience with Kubernetes, Terraform/Pulumi, and cloud platforms (AWS, Azure, or GCP).
  • Security Tooling requirements: Mastery of integrating SAST, DAST, SCA, and Secret Scanning into GitHub Actions, GitLab CI, or Jenkins.
  • AI/ML Security requirements: Hands-on experience securing MLOps pipelines and implementing security for AI-integrated APIs.
  • Programming requirements: Proficiency in Python, Go, or Bash for building custom security automation and AI-driven scripts.
  • Observability requirements: 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.
  • 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.
  • Must have lived in the United States for the past 5 years.
  • Cannot have more than 6 months travel outside the United States within the last five years. Military Service excluded. (Exception does not include military family members.)