CT Systems Engineer
Summary
Hands-on systems engineer (SME) role in Tysons or Warrenton, VA, requiring an active TS/SCI clearance with polygraph. The engineer analyzes, documents, designs, and implements hybrid cloud/on-prem systems end-to-end using AWS, Kubernetes, Linux, Terraform/Ansible, CI/CD pipelines, and monitoring tools.
PLEASE NOTE: This position requires an ACTIVE Top Secret/SCI Clearance with Polygraph. To be considered for this position, you MUST have an ACTIVE Clearance Level of Top Secret/SCI with Polygraph
- 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
- Infrastructure & Platforms
- Storage technologies (e.g., SAN, NAS, S3, object storage)
- Container platforms (e.g., Kubernetes)
- Linux (Redhat, CentOS) operating systems (administration, hardening, automation)
- Cloud & On-Prem Technologies
- AWS platform knowledge
- Hybrid and on-prem infrastructure design and integration
- Cloud identity, security, storage, compute, and cost optimization
- Data & Application Platforms
- Knowledge of 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 (e.g., Python, Bash, Terraform, Ansible)
- Experience supporting production or mission critical environments
- Configuration management and scripting (e.g., Bash, Python, etc.)
- CI/CD integration with infrastructure and platforms (e.g., Jenkins, GitLab CI/CD, GitHub Actions, GitOps, ArgoCD)
- Security best practices and systems hardening
- Monitoring & Incident Response: Proficiency with tools like Prometheus, Grafana, Splunk, ELK Stack, CloudWatch
- Architecture & Design
- Ability to create:
- As-is architecture documentation
- To-be architecture and detailed engineering designs
- Implementation and migration plans
- Ability to create:
- Observability and monitoring tools (e.g., logging, metrics, tracing)
- Enterprise networking (e.g., routing, switching, firewalls, load balancers, DNS)
- IdAM - Public Key Infrastructure (PKI) hands-on for AuthN and AuthZ
- Modern security architecture practices
- Data analytics, AI/ML platform exposure
- Relevant certifications (e.g., cloud, systems, security, or architecture)
- Knowledge of machine learning platforms (e.g., TensorFlow, PyTorch, SageMaker)
- Familiarity with big data ecosystems (e.g., Hadoop, Databricks, Snowflake, Google BigQuery)
- Strong background in ITIL processes and agile methodologies
- Certifications: AWS Solutions Architect / DevOps Engineer, Azure Administrator, Kubernetes CKA/CKAD ITIL Foundation
- Perform hands-on systems engineering across network, compute, storage, databases, and applications
- Analyze and document as-is infrastructure, platform, and application architectures
- Lead and execute cloud and on-prem system implementations, migrations, and upgrades
- Ensure systems meet availability, scalability, performance, security, and compliance requirements
- Integrate infrastructure and platforms with DevOps and DevSecOps pipelines
- Troubleshoot complex, cross-stack issues spanning infrastructure, platforms, and applications
- Collaborate effectively with:
- Infrastructure & Platforms Engineers
- Software Engineers
- DevOps / DevSecOps Engineers
- Data Engineers (ETL)
- Data Modelers, Data Scientists, and Data Analysts
- Serve as a technical authority and escalation point for complex system issues
- Communication Skills:
- Ability to brief executives clearly and translate technical issues into business impact
- Ability to work across organizations (internal and IC) to implement complex solutions
- Strong drive and ability to learn
- Recognized SME with deep, hands-on technical expertise
- Strong systems thinker with the ability to see and engineer across system boundaries
- Excellent communication and collaboration skills across technical and non-technical teams
- Proven ability to own and implement complex systems from design through production
Skills
- Agile
- AI
- Analytics
- Ansible
- API
- Argo CD
- Automation
- AWS
- Azure
- Bash
- BigQuery
- CI/CD
- Cloud
- CloudWatch
- Data Analytics
- Databricks
- DevOps
- DevSecOps
- DNS
- ELK
- ETL
- Firewall
- GitHub
- GitHub Actions
- GitLab
- GitOps
- Grafana
- Hadoop
- Infrastructure as Code
- ITIL
- Jenkins
- Kubernetes
- Linux
- Machine Learning
- Networking
- Observability
- PKI
- Prometheus
- Python
- PyTorch
- RabbitMQ
- S3
- SageMaker
- SDLC
- Snowflake
- SNS
- Splunk
- SQS
- TensorFlow
- Terraform