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Senior Systems Engineer Top Secret​/SCI w​/Poly

Job in Laurel, Anne Arundel County, Maryland, 20724, USA
Listing for: Peraton
Full Time position
Listed on 2026-07-01
Job specializations:
  • Manufacturing / Production
    Systems Engineer
Salary/Wage Range or Industry Benchmark: 176000 - 282000 USD Yearly USD 176000.00 282000.00 YEAR
Job Description & How to Apply Below
Location: Laurel

Senior Systems Engineer Top Secret/SCI w/Poly

Job Location s: US-MD-Laurel

  • Requisition :
  • Position Category:
    Information Technology
  • Clearance:
    Top Secret/SCI w/Poly
Responsibilities

Peraton is seeking a highly experienced Senior Systems Engineer to lead the design, development, and implementation of our enterprise-scale data models and ontologies. This role is critical in transforming disparate data sources into a cohesive, searchable, and semantically rich knowledge graph. You will serve as a technical authority, guiding the evolution of our "Entity-Evidence" frameworks and ensuring the reliability of our distributed data services.

Ontology

& Model Engineering
  • Lead the design and implementation of complex domain ontologies and logical data models to support advanced analytics and discovery.
  • Develop and refine schemas for graph databases (Neo4j), ensuring optimal relationship modeling and query performance.
  • Establish standards for entity resolution, taxonomy management, and metadata tagging across the enterprise.
  • Oversee the ingestion of "Entity Source Documents " and associate evidence into unified semantic structures.
Systems Architecture & Integration
  • Design and manage high-throughput data pipelines using distributed streaming platforms like Apache Kafka.
  • Implement sophisticated message-key strategies and topic compaction to ensure data integrity and system efficiency.
  • Orchestrate containerized services within Kubernetes (K8s), leveraging Custom Resource Definitions (CRDs) and Operators for complex stateful workloads.
  • Integrate diverse data assets—from relational stores to unstructured documents—into a synchronized, scalable backend architecture.
Technical Leadership & Governance
  • Provide expert-level support for model implementation, ensuring alignment between conceptual models and physical deployments.
  • Mentor junior engineers on best practices in Java/Spring Boot development, API documentation (OpenAPI/Swagger), and cloud-native patterns.
  • Collaborate with data scientists and stakeholders to translate business requirements into technical specifications and architectural diagrams.
Reliability & Performance
  • Conduct deep-dive troubleshooting for complex system bottlenecks, particularly within Kafka clusters and graph database clusters.
  • Define and implement monitoring and observability standards using Prometheus, Grafana, and ELK.
  • Ensure the long-term scalability and maintainability of the "arbitranch" and "KEA" service ecosystems.
Qualifications

Basic Qualifications:

  • Active TS/SCI clearance with polygraph
  • Twenty (20) years of Systems Engineering experience on programs of similar scope, type, and complexity, with demonstrated expertise in planning and leading Systems Engineering efforts
  • Bachelor's degree in Systems Engineering, Computer Science, Information Systems, Engineering Science, Engineering Management, or a related discipline from an accredited institution; in lieu of a degree, an additional five (5) years of relevant Systems Engineering experience may be substituted.
  • Extensive experience in Data Architecture, with a focus on graph modeling and semantic technologies.
  • Mastery of Java and the Spring Boot ecosystem for building enterprise-grade backend services.
  • Deep technical proficiency with Apache Kafka, including cluster management, topic configuration, and performance tuning.
  • Proven track record of deploying and managing production workloads on Kubernetes and cloud platforms (AWS).
  • Experience with automated CI/CD workflows and Infrastructure as Code (Terraform/Cloud Formation).
  • Strong communication skills with the ability to convey complex architectural concepts to both technical and executive audiences.

Desired Expertise:

  • Expert knowledge of Neo4j (Cypher, APOC, GDS) and graph-based data science.
  • Experience with Ontology Web Language (OWL) or Resource Description Framework (RDF).
  • Understanding of social media sentiment analysis and its application to financial or predictive modeling.
  • Familiarity with large-scale data processing using Apache Spark.
  • Advanced degree in Computer Science, Systems Engineering, or a related quantitative field.
Peraton Overview

Peraton is a next-generation national security company that drives…

Position Requirements
10+ Years work experience
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