Systems Architect - TS/SCI w/ Poly required

About the role

We are seeking a hands-on Systems Architect (SME) with deep expertise across infrastructure, platforms, and application ecosystems spanning cloud and on-premises environments. This role requires a proven practitioner who can analyze existing ("as-is") systems and applications, document current state architectures, design future- state solutions, and implement system enhancements or technology transformations end-to-end. The ideal candidate is a technical leader and doer, not just an advisor - someone who can seamlessly collaborate across infrastructure, platform, application, DevSecOps, information systems security, and data teams while maintaining ownership of system reliability, performance, scalability, and security.

Ideal Candidate Profile: Recognized SME with deep, hands-on technical expertise; Strong systems thinker with the ability to see and engineer across the full stack; Comfortable operating at both strategic architecture and tactical implementation levels; Excellent communication and collaboration skills across technical and non-technical teams; Proven ability to own complex systems from design through production.

Requirements

• Bachelor's degree in Computer Science, IT or related technical discipline, or the equivalent combination of education, technical training, or work/military experience.
• Minimum ten (10) years of related experience.

Skills

Required Knowledge/Skills:

• Infrastructure & Platforms
  • Enterprise networking (e.g., routing, switching, firewalls, load balancers, DNS)
  • Storage technologies (e.g., SAN, NAS, object storage)
  • Container platforms (e.g., Kubernetes, Docker)
  • Linux (Redhat, CentOS) operating systems (administration, hardening, automation)
  • IdAM - Public Key Infrastructure (PKI) hands-on for AuthN and AuthZ
• Cloud & On-Prem Technologies
  • Cloud platforms (AWS, Azure, and/or GCP)
  • Hybrid and on-prem infrastructure design and integration
  • Cloud networking, identity, security, and cost optimization
• Data & Application Platforms
  • Relational and NoSQL databases - relational (e.g., Oracle, PostgreSQL, MySQL, SQL Server) and NoSQL (e.g., MongoDB, Cassandra, DynamoDB, Redis) databases
  • Web services, APIs, and middleware
  • Software development lifecycle (SDLC) fundamentals
  • Event-based messaging systems (e.g., SQS, SNS, RabbitMQ)
• Engineering & Automation
  • Infrastructure as Code - Scripting & Automation: Python, Bash, PowerShell, Terraform, Ansible, or CloudFormation
  • Configuration management and scripting (e.g., PowerShell, Bash, Python, etc.)
  • CI/CD integration with infrastructure and platforms (e.g., Jenkins, Gitlab CI/CD, GitHub Actions, GitOps, ArgoCD)