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HomeCompaniesCareers Tier1 Icims ComDevSecOps Architect (Remote)

DevSecOps Architect (Remote)

Careers Tier1 Icims Com · Falls Church, VA, US · Remote · Active · iCIMS

Job facts

FieldValue
CompanyCareers Tier1 Icims Com
TitleDevSecOps Architect (Remote)
Normalized title-
Department / teamInformation Technology
LocationFalls Church, VA, United States
Work modelRemote / Remote
Employment typeOTHER
Salary-
Statusactive
ATS provideriCIMS
Posted / first seen2024-06-06 / 2026-05-31
Changed / last seen2026-06-06 / 2026-06-06

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PageWhat it containsOpen
Company jobsActive postings from Careers Tier1 Icims Com.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through iCIMS.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in Falls Church.Open
Department jobsActive postings in Information Technology.Open
Work model jobsActive Remote postings.Open
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Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyCareers Tier1 Icims Com
Source8cb0cabd-a91d-4a7e-9738-d054fb4b2b53
ATS provideriCIMS

Description

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.)

Full job record

Job IDe1de00a8943446f549e7e6352103106ac021a64d
Org IDc7db933e-11ae-4a1c-b379-bf11ff35535c
Source ID8cb0cabd-a91d-4a7e-9738-d054fb4b2b53
Board ID8cb0cabd-a91d-4a7e-9738-d054fb4b2b53
Providericims
Provider Job Key22055
TitleDevSecOps Architect (Remote)
Normalized Title
Statusactive
Activeyes
Location TextFalls Church, VA, US
DepartmentInformation Technology
Team
Employment TypeOTHER
Workplace Typeremote
Remote Policyremote
CountryUnited States
RegionVA
CityFalls Church
Salary RawOverview 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.)
Salary Min
Salary Max
Salary Currency
Salary Period
Source URLhttps://careers-tier1.icims.com/jobs/22055/devsecops-architect-%28remote%29/job
Apply URLhttps://careers-tier1.icims.com/jobs/22055/devsecops-architect-%28remote%29/job
First Seen At2026-05-31 18:43:13Z
Last Seen At2026-06-06 08:28:20Z
Last Checked At2026-06-06 08:28:20Z
Last Changed At2026-06-06 08:28:20Z
Inactive At
Source Posted At2024-06-06 08:28:19Z
Source Updated At2026-05-04 19:26:36Z
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=icims/board=careers-tier1.icims.com/date=2026-06-06/2026-06-06T08-28-19-539Z-ba6664cb8bed70007d89a10e0efa1b348a3ba719da1d02ac30c3601262b92659.json
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