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Infrastructure Architect

Infrastructure Architect

CompanyLeidos
LocationTampa, FL, USA
Salary$104650 – $189175
TypeFull-Time
DegreesBachelor’s, Master’s
Experience LevelSenior, Expert or higher

Requirements

  • BS degree in Computer Science, Information Systems, Engineering, or a related field with 8-12 years of relevant experience in infrastructure architecture, engineering, or systems integration. 12 years of applicable experience will be accepted in lieu of degree.
  • Must possess an active Top Secret clearance with SCI eligibility.
  • Demonstrated experience architecting and implementing infrastructure solutions in AWS and Azure using OCP, ECS, EKS, and AKS.
  • Strong expertise in infrastructure security practices, including implementation of STIGs and compliance with RMF and NIST 800-53.
  • Proficiency in containerization (Docker, Podman), Helm, Ansible, and setting up CI/CD pipelines in a DevSecOps environment.
  • Experience in cross-domain solutions and interfacing with multiple government networks and stakeholders.
  • Proven leadership in providing infrastructure training, mentoring, and DevSecOps guidance to engineering teams.

Responsibilities

  • Design and implement scalable, secure, and cloud-agnostic infrastructure architectures that support mission objectives across AWS, Azure, and on-premise environments.
  • Lead technical refresh and modernization initiatives by developing infrastructure roadmaps and solution strategies based on CENTCOM, USSOCOM, and other mission-driven environments.
  • Provide technical leadership and mentorship to engineering teams; guide junior architects in adopting secure DevSecOps processes in OCP, AKS, EKS, and ECS environments.
  • Ensure system compatibility and seamless integration with other customer systems and infrastructure across multiple networks and agencies.
  • Implement NIST and DoD-compliant security practices, including secure coding, system hardening, STIG application, and data encryption.
  • Collaborate with stakeholders to assess gaps in infrastructure capabilities and propose long-term, forward-looking solutions that align with operational needs.
  • Set up and manage infrastructure components including storage environments, container registries, runtime environments, containerization tools, and scanning platforms.
  • Develop OCI-compliant containers, Helm charts, and Ansible roles to support automated VM and container deployments.
  • Drive infrastructure automation by creating and maintaining playbooks, scripts, and pipelines for provisioning, configuration, patching, monitoring, and maintenance tasks.
  • Document infrastructure architectures, implementation guides, SOPs, and security requirements, including setting up local wikis for team-wide knowledge management.
  • Monitor infrastructure performance and availability, proactively identifying improvements to handle growing workloads and mission demands.
  • Ensure compliance with industry and government standards including DISA STIGs, RMF, and NIST 800-53 requirements.
  • Lead infrastructure assessments and technical strategy sessions to improve integration, performance, and overall system resilience across classified environments.

Preferred Qualifications

  • MS degree in Computer Science, Information Systems, Engineering, or a related field with 6-10 years of relevant experience in infrastructure architecture, engineering, or systems integration.
  • Relevant certifications such as AWS Certified Solutions Architect, Microsoft Azure Architect Expert, or Red Hat Certified Architect (RHCA).
  • Direct experience supporting USSOCOM, CENTCOM, or similar DoD operational environments.
  • Experience developing infrastructure for AI/ML workloads and integrating infrastructure for advanced analytics.
  • Familiarity with GitOps, Kubernetes Operators, and infrastructure-as-code frameworks like Terraform.
  • Background in building hybrid and multi-cloud infrastructures with automated policy enforcement and configuration management.
  • Experience standing up local knowledge bases and technical documentation platforms (e.g., MoinMoin, Confluence) to support engineering knowledge transfer.