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Software Engineer (Backend), Level 3 with Security Clearance
Neural SolutionsBaltimore, MD🇺🇸United StatesPosted 23 Jul 2026
Why This Role Stands Out
This hybrid role offers an exciting opportunity to develop cutting-edge backend solutions for critical cybersecurity systems, leveraging your Python expertise and data engineering skills to make a significant impact. You'll thrive here if you enjoy collaborating with diverse teams in a dynamic environment and are eager to grow your career in a highly reputable organization. Don't miss the chance to apply for this impactful position!
Quick Overview
Work Type
Hybrid
Schedule
Employee
Level
Mid Senior
Job Description
This position involves supporting advanced cybersecurity data processing systems and working with the team to design, develop, and deploy backend software solutions for defense and intelligence operational requirements. You will collaborate with a diverse team of security analysts and operators to ensure your solutions are effective in real-world cyber operations scenarios.
Responsibilities
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Develop and maintain Python-based backend services, APIs, and data pipelines for mission-critical cybersecurity applications. Design scalable microservices architectures for high-throughput security data processing. Build ETL workflows and data transformation systems for cyber threat intelligence. Optimize database performance and query efficiency for security analytics. Collaborate with analysts to translate cyber operational requirements into working software solutions.
Required Skills
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Extensive experience developing in Python for backend services and data engineering. Strong experience with relational databases (PostgreSQL, Oracle) and query optimization. Hands-on experience building RESTful APIs and microservices. Experience with data processing frameworks (Pandas, Spark, or Airflow). Development experience in a Linux environment. Experience with the Atlassian Suite (Jira/Confluence).
Nice to Have
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Experience with distributed systems and message brokers (Kafka, RabbitMQ). Knowledge of containerization and Kubernetes orchestration. Experience with ElasticSearch or other search/analytics platforms. Familiarity with machine learning pipelines and MLOps. Experience deploying data systems in secure/air-gapped environments. Experience processing security logs, network traffic, or threat intelligence data.
Requirements
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Experience Required: 12 years with Bachelor's degree in technical field, or 13 years without degree
Location: Columbia, MD
Clearance: TS/SCI with Polygraph required
Skills
Microservices
Oracle
ETL
MLOps
Machine Learning
Airflow
Confluence
Jira
Kafka
Kubernetes
Pandas
PostgreSQL
Python
RabbitMQ
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