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.)
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