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IT solutions for intelligence and homeland defense

CT Systems Engineer

  • |10 years of exp
  • |Full Time
Posted: 4 weeks ago
Job Location
Remote Work Policy

In office

Visa Sponsorship

Not Available

RelocationAllowed
Skills
Python
MySQL
MongoDB
SQL Server
Web Services
Identity
Redis
PostgreSQL
Automation
Centos
Cassandra
Linux
Bash
DNS
Configuration Management
VMware
Jenkins
Oracle
Middleware
Security
SDLC
Windows
Redhat
DynamoDB
Azure
Administration
Splunk
Kafka
Switching
Hyper-V
Spark
Cost Optimization
Docker
PowerShell
Scripting
Ansible
Cloud Networking
Data Pipelines
Etl Pipelines
AWS
routing
San
Kubernetes
Firewalls
Terraform
NAS
Prometheus
Grafana
Object Storage
ELK Stack
HPCC
Airflow
Load Balancers
GCP
Cloudformation
CloudWatch
APIs
GitOps
Gitlab CI/CD
GitHub Actions
ETL Frameworks
System Hardening
CI/CD Integration
Security Best Practices
Hardening
Detailed Engineering Designs
Hadoop/Cloudera
As-Is Architecture Documentation
Implementation and Migration Plans
To-Be Architecture
Hybrid and on-Prem Infrastructure Design and Integration

About the job

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-SE0924-1

Tysons or Warrenton

Job Description

We are seeking a hands-on Systems Engineer with deep expertise across infrastructure, platforms, and application ecosystem 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 achiever 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.

Qualifications

  • Bachelor’s Degree in Computer Science, IT, or a related technical discipline, or the equivalent combination of education, technical training, or work/military experience
  • Minimum ten (10) years of related systems engineering experience

Required Knowledge/Skills

The candidate 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)

  • Virtualization and container platforms (VMware, Hyper-V, Kubernetes, Docker)

  • Windows and Linux (Redhat, CentOS) operating systems (administration, hardening, automation)

  • Data platforms (HPCC, Hadoop/Cloudera)

  • 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

  • Data platforms (HPCC, Hadoop/Cloudera)

  • Data pipelines, and ETL frameworks – with ETL pipelines, Airflow, Kafka, Spark, or similar frameworks

  • Web services, APIs, and middleware

  • Software development lifecycle (SDLC) fundamentals

  • Engineering & Automation

  • Infrastructure as Code – Scripting & Automation: Python, Bash, PowerShell, Terraform, Ansible, or CloudFormation

  • Configuration management and scripting (PowerShell, Bash, Python, etc.)

  • CI/CD integration with infrastructure and platforms (Jenkins, GitLab CI/CD, GitHub Actions, GitOps)

  • Security best practices and system 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

Desired Skills

  • Observability and monitoring tools (logging, metrics, tracing)
  • Zero Trust and modern security architectures
  • Data analytics, AI/ML platform exposure
  • Experience supporting regulated or mission-critical environments
  • Relevant certifications (cloud, systems, security, or architecture)
  • Knowledge of machine learning platforms (TensorFlow, PyTorch, SageMaker)
  • Familiarity with big data ecosystems (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

Key Responsibilities

  • Perform hands-on systems engineering across network, compute, storage, operating systems, middleware, databases, and applications
  • Analyze and document as-is infrastructure, platform, and application architectures
  • Design to-be architectures and detailed engineering designs for modernization, optimization, and transformation initiatives
  • 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 & Platform Engineers

  • Software Engineers

  • DevOps / DevSecOps Engineers

  • Data Engineers (ETL)

  • Data Modelers, Data Scientists, and Data Analysts

  • Produce clear technical documentation, diagrams, standards, and runbooks

  • 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

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