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Systems Architect; TS​/SCI Poly

Job in Tysons, Fairfax County, Virginia, USA
Listing for: GCI
Full Time position
Listed on 2026-10-04
Job specializations:
  • IT/Tech
    Cloud Computing: Infrastructure & Operations, Systems Engineer
Salary/Wage Range or Industry Benchmark: 164382 - 274518 USD Yearly USD 164382.00 274518.00 YEAR
Job Description & How to Apply Below
Systems Architect (TS/SCI with Poly Required)

Job Category: IT Infrastructure and Operations

Requisition Number: SYSTE
002321

  • Full-Time
  • On-site
  • Salary Range : $ USD to $ USD
Locations

Showing 1 location

Description

GCI embodies excellence, integrity and professionalism. The employees supporting our customers deliver unique, high-value mission solutions while effectively leverage the technological expertise of our valued workforce to meet critical mission requirements in the areas of Data Analytics and Software Development, Engineering, Targeting and Analysis, Operations, Training, and Cyber Operations. We maximize opportunities for success by building and maintaining trusted and reliable partnerships with our customers and industry.

At GCI, we solve the hard problems. As a Systems Architect , a typical day will include the following duties:

JOB DESCRIPTION

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, Dev Sec Ops , information systems security, and data teams while maintaining ownership of system reliability, performance, scalability, and security.

QUALIFICATIONS

  • Bachelor’s degree in Computer Science, IT or related technical discipline, or the equivalent combination of education, technical training, or work/military experience.

REQUIRED KNOWLEDGE/SKILLS

Candidates must demonstrate hands‑on experience in all the following areas:

Infrastructure & Platforms

  • Enterprise networking (e.g., routing, switching, firewalls, load balancers, DNS)
  • Storage technologies (e.g., SAN, NAS, object storage)
  • 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 No

    SQL databases – relational (e.g., Oracle, PostgreSQL, MySQL, SQL Server) and No

    SQL (e.g., MongoDB, Cassandra, DynamoDB, Redis) databases
  • Web services, APIs, and middleware
  • Event‑based messaging systems (e.g., SQS, SNS, RabbitMQ)
  • Infrastructure as Code – Scripting & Automation:
    Python, Bash, Power Shell, Terraform, Ansible, or Cloud Formation
  • Configuration management and scripting (e.g., Power Shell, Bash, Python, etc.)CI/CD integration with infrastructure and platforms (e.g., Jenkins, Gitlab CI/CD, Git Hub Actions, Git Ops, ArgoCD)
  • Security best practices and system hardening
  • Monitoring & Incident Response:
    Proficiency with tools like Prometheus, Grafana, Splunk, ELK Stack, Cloud Watch
  • Ability to create:
  • To‑be architecture and detailed engineering designs
  • Implementation and migration plans

DESIRED
KNOWLEDGE/SKILLS

  • Observability and monitoring tools (e.g., logging, metrics, tracing)
  • Zero Trust and modern security architectures
  • Data analytics, AI/ML platform exposure
  • Experience supporting production or mission‑critical environments
  • Relevant certifications (e.g., cloud, systems, security, or architecture)
  • Knowledge of machine learning platforms (e.g., Tensor Flow, PyTorch, Sage Maker)
  • Familiarity with big data ecosystems (e.g., Hadoop, Databricks, Snowflake, Google, Big Query)
  • Strong background in ITIL processes and agile methodologies

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