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CT Systems Engineer

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Onsite

CT Systems Engineer

Probity Inc.

CT Systems Engineer

Skills

Google Cloud PlatformSQL QueriesBig DataMongoDBDockerPythonDevOpsPyTorchTensorFlowPostgreSQLMySQLCassandraKafkaRedisSnowflakeGoogle BigQueryDatabricksGitLabJenkinsGrafanaSplunkData AnalysisMachine LearningAIAWSAnsiblePrometheusGitHubLinuxKubernetesOracleELK StackApache AirflowITILHadoopComplianceTerraformAzure

1 month ago

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Important information


Contract type:

Temporary

Location:

Tysons, VA, USA

Work mode:

Onsite

Published on:

25 September 2026

What they need


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

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