CT Systems Engineer

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 Position Code: 07-SE1002-1 Tysons or Warrenton 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 doer, not just a maintainer or 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 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, 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) 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., Tensor. Flow, Py. Torch, 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 / DevOps Engineer, Azure Administrator, Kubernetes CKA/CKAD ITIL Foundation KEY RESPONSIBILITIES 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 Dev. Sec. Ops pipelines Troubleshoot complex, cross-stack issues spanning infrastructure, platforms, and applications Collaborate effectively with: Infrastructure & Platforms Engineers Software Engineers DevOps / DevSec. Ops 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 IDEAL CANDIDATE PROFILE 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