Systems Engineer (TS​/SCI with Poly Required) with Security Clearance

Location: Tysons Corner

Job Category: IT Infrastructure and Operations

Requisition Number: SYSTE
002232 Posting Details
* Full-Time

* On-site
* $142,792 USD to $ USD Job Details 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 Engineer, a typical day will include the following duties:

JOB DESCRIPTION We are seeking a hands-on Systems Engineer (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 systems 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 or related technical discipline, or other related technical discipline, or equivalent combination of education, technical certifications, training, and work/military experience

* Minimum ten (10) years of related systems engineering 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)

* 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 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

* Software development lifecycle (SDLC) fundamentals

* Event-based messaging systems (e.g., SQS, SNS, RabbitMQ) Engineering & Automation
* 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, Git Lab CI/CD, Git Hub Actions, Git Ops, ArgoCD)

* Security best practices and systems hardening

* Monitoring & Incident Response:
Proficiency with tools like Prometheus, Grafana, Splunk, ELK Stack, Cloud Watch Architecture & Design
* Ability to create:

* As-is architecture documentation

* To-be architecture and detailed engineering designs

* Implementation and migration plans
DESIRED 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

* Certifications:

AWS Solutions Architect / Dev Ops Engineer, Azure Administrator, Kubernetes CKA/CKAD ITIL…