CompTIA Cybersecurity Analyst (CySA+) Systems Security Certified Practitioner

DevOps, FedRAMP Dataflow Equities Terraform Hardening DevSecOps Pipelines Resilience Kubernetes Agentic AI Mathematics Market Data AWS Bedrock Data Science Communication Observability AWS SageMaker Cyber Security Ancient History Computer Science Machine Learning Cyber Operations Secret Clearance Security Controls Docker (Software) Cloud Engineering Technical Strategy Amazon Web Services Software Versioning Security Engineering Top Secret Clearance Continuous Monitoring Artificial Intelligence Authorization (Computing) IAT Level II Certification Product Family Engineering Infrastructure as Code (IaC) Cloud Computing Architecture MLOps (Machine Learning Operations) Plan Of Action And Milestones (POA&M) Top Secret-Sensitive Compartmented Information (TS/SCI Clearance), Leidos is seeking a Senior AI Platform Engineer to join our DCSB Artificial Intelligence & Agent Development team supporting the U.S. Army C5ISR Center.

In this role, you will lead the technical strategy for building and accrediting a secure agentic AI platform within AWS GovCloud (IL5). You will combine deep cloud and platform engineering expertise with DoD security accreditation, RMF, ATO/cATO, and DevSecOps practices to ensure AI capabilities can be securely deployed into operational environments.

This is not a traditional AI/ML development position. Your primary challenge will be creating a secure, observable, and accreditable platform on which agentic AI capabilities can operate.

You will serve as a key technical interface between platform engineering, security engineering, ISSO/ISSM personnel, and Authorizing Official (AO) stakeholders. You will also help establish secure engineering patterns so accreditation is built into the platform from the beginning rather than addressed after development., * Lead the technical accreditation strategy for the agentic AI platform, including security controls for models, tools, and agent-to-agent interactions.

• Develop and maintain technical artifacts supporting ATO and continuous ATO (cATO), including control narratives, architecture diagrams, data flows, boundary definitions, POA&M inputs, and security scan evidence.
• Partner with security engineering, ISSO/ISSM personnel, and AO stakeholders to translate complex AI and cloud architectures into evidence supporting authorization decisions.
• Design, build, and operate a secure AWS GovCloud IL5 platform supporting agentic AI workloads.
• Deploy and manage containerized workloads using Kubernetes and Docker, including scaling, observability, resiliency, and failure recovery.
• Build and maintain CI/CD pipelines and Infrastructure as Code (IaC) using Platform One and technologies such as Terraform or CloudFormation.
• Support container hardening, image accreditation, and secure software delivery practices.
• Integrate Amazon Bedrock and other authorized AI/ML services, managing IAM, network boundaries, service quotas, and data flow controls.
• Implement logging, tracing, monitoring, auditability, and cost attribution for agent and tool activity.
• Apply MLOps practices including model and prompt versioning, deployment gating, monitoring, and rollback.
• Mentor engineers on secure, accreditable architecture and development practices.
• Develop and execute the platform technical roadmap aligned with program and mission objectives., You’ll work at the intersection of cloud engineering, cybersecurity, DevSecOps, and emerging AI technologies while supporting a mission focused on protecting critical cyber terrain.

You’ll have the opportunity to help establish how advanced agentic AI capabilities are securely engineered, accredited, and transitioned into operational DoD environments.

Join us and help build the secure foundation that enables mission-focused AI.

If you’re looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We’re not hiring followers. We’re recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We’re already at step 30 - and moving faster than anyone else dares., MariaDB Equities OpenShift DevSecOps Pipelines Automation Purchasing Kubernetes Upskilling PostgreSQL Code Review Market Data RESTful API Spring Boot Data Access Cryptography GitLab CI/CD Microservices Schema Markup Test Automation Helm (Software) Ancient History Computer Science Technical Design Containerization Agile Methodology Docker (Software) Analytical Method Rancher (Software) Time Off Management Security Engineering Software Engineering Relational Databases Atlassian Confluence Signals Intelligence Cloud-Native Computing Technical Documentation Angular (Web Framework) Database Administration Containerized Application Java (Programming Language) Computer Network Operations Front End (Software Engineering) Extensible Markup Language (XML) Troubleshooting (Problem Solving) Amazon Elastic Kubernetes Service Application Programming Interface (API) Top Secret-Sensitive Compartmented Information (TS/SCI Clearance) +0

Google IT Automation with Python Platform Operations Engineer Leidos

Bethesda, MD*On-Site

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• Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, Mathematics, or a related technical field.
• 8+ years of hands-on experience in cloud, platform, DevOps, or MLOps engineering.
• U.S. citizenship with active Tope Secret clearance with the ability to obtain and maintain SCI.
• Demonstrated experience supporting a system through formal security accreditation/RMF, including substantial contributions to security control documentation and direct interaction with security or authorization stakeholders.
• Experience operating within a DoD or federal accredited cloud environment, such as IL4/IL5, FedRAMP Moderate/High, or comparable.
• Hands-on experience with AWS, Kubernetes, Docker, and Infrastructure as Code.
• Experience designing, building, and maintaining CI/CD pipelines.
• Proficiency in Python.
• Working knowledge of how ML/LLM workloads are deployed, scaled, secured, and monitored.
• Strong communication skills with the ability to explain and defend technical architecture and security decisions.

Preferred Qualifications:

• Active TS/SCI clearance.
• Experience supporting national security, defense, or DoD environments.
• Direct experience with continuous ATO (cATO), continuous monitoring, and pipeline-based security evidence.
• Experience with Platform One, Iron Bank, or Big Bang.
• Experience with AWS Bedrock, Bedrock AgentCore, SageMaker, or similar managed AI/ML services.
• Experience securing or accrediting systems involving LLMs, autonomous decision logic, agentic AI, or dynamic service interactions.
• Experience with cybersecurity operations, security engineering, or DoD cyber environments.
• DoD 8570 IAT Level II certification or equivalent., Ansible Debating Equities Kubeflow Terraform Pipelines Scheduling Leadership Management Innovation Kubernetes Market Data RESTful API Oracle Linux GitLab CI/CD Collaboration Virtualization Apache Airflow Problem Solving Ancient History Computer Science Machine Learning Operating Systems Docker (Software) Linux Distribution Workflow Management Systems Engineering GIAC Certifications Software Development CompTIA Security+ CE Electrical Engineering Artificial Intelligence Technical Documentation Red Hat Enterprise Linux Bash (Scripting Language) Ubuntu (Operating System) Engineering Design Process IAT Level II Certification Product Family Engineering IAT Level III Certification Infrastructure as Code (IaC) Python (Programming Language) GIAC Certified Incident Handler Troubleshooting (Problem Solving) Slurm (Batch Scheduling Software) Application Programming Interface (API) Systems Security Certified Practitioner GIAC Certified Enterprise Defender (GCED) Certified Information System Auditor (CISA) Certified Cloud Security Professional (CCSP) GIAC Security Essentials Certification (GSEC) CompTIA Advanced Security Practitioner (CASP+) CISCO Certified Network Professional - Security GIAC Global Industrial Cyber Security Professional Certified Information Systems Security Professional Cisco Certified Network Associate Security (CCNA Security) Top Secret-Sensitive Compartmented Information (TS/SCI Clearance) +0

Pay and benefits are fundamental to any career decision. That’s why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at www.leidos.com/careers/pay-benefits .

Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit www.Leidos.com .