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Software Data Engineer with Security Clearance

Aqua ITSpringfield, VA🇺🇸United StatesPosted Oct 16, 2026

Why This Role Stands Out

This hybrid role offers exciting opportunities to build secure, event-driven AWS architectures and develop cutting-edge microservices, fostering significant career growth and skills development in cloud security and infrastructure. You'll thrive here if you have a strong foundation in Python, AWS, and secure cloud design, and are eager to contribute to a reputable company with a focus on innovation. Apply now to leverage your security clearance and expertise in a dynamic, impactful position!

Quick Overview

Seniority
Mid Senior
Work mode
Hybrid
Location
Springfield, VA, United States
Posted
Yesterday
MicroservicesAWSCDKPythonTypeScript

Job Description

Description of Services/Responsibilities

  • Build and maintain Python Lambda microservices that move data across isolated network fabrics, using loosely coupled, event-driven AWS services.
  • Develop and deploy AWS cloud architectures through CDK (TypeScript) IaC, CI/CD pipelines, and cross-fabric/cross-account deployments, with a focus on secure CDK constructs and least-privilege design.
  • Develop flexible serverless cross-domain architectures and XML schema definition files built for integration with Diode Messaging -Build out observability across services: CloudWatch dashboards, synthetics canaries, telemetry tracing, and alerting.
  • Clearance and Access - willing to access isolated networks multiple times per week Requirements -Python and AWS Lambda
  • AWS in general - AWS Solutions Architect Associate level of knowledge -Decoupled / event-driven architectures (e.g. EventBridge, SNS, SQS, ElastiCache)
  • Networking: VPCs, subnets, VPC endpoints, security groups
  • Security and secure architecture design (secure CDK constructs, IAM policies, least privilege)
  • Infrastructure as Code with AWS CDK (TypeScript)
  • Observability: CloudWatch dashboards, synthetics canaries, telemetry/tracing, alerting
  • CI/CD pipelines and deployments through GitLab
  • Cross-fabric deployments

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