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  3. Mid Level Cloud Software Engineer
Redhorse logo

Mid Level Cloud Software Engineer

Redhorse
Quantico, VA
Full Time
Posted September 22, 2026
$115k - $145k
Power Generation
Apply Now

Application opens on company website

Job Description

Now is a great time to join Redhorse Corporation.

Key Responsibilities

  • Cloud & Microservices Development: Develop, test, and maintain highly available, secure microservices and cloud components across AWS and Microsoft Azure (GovCloud and commercial).
  • Full-Stack & Web UI Engineering: Build modern, responsive Web User Interfaces (UIs) and data dashboards using frameworks such as React, Angular, or Vue.js to deliver clear operational insights to analysts.
  • AI & Machine Learning Integration: Integrate cognitive services, vector databases, and Large Language Models (LLMs)/Generative AI capabilities into data pipelines to support automated insight discovery.
  • Data Pipeline Support: Assist in building and maintaining distributed data processing workflows and event-driven messaging systems to handle high-throughput cyber datasets.
  • Cyber & Tooling Support: Collaborate with technical teams to analyze software behaviors, evaluate security features, and support the development of custom data extraction and recovery tools.
  • DevSecOps & Automation: Utilize Infrastructure as Code (IaC) and participate in CI/CD pipeline automation and automated testing to ensure reliable deployment across secure environments.
  • Cross-Functional Collaboration: Work closely with senior architects, data scientists, and federal stakeholders to translate user requirements into robust, deployable software features.

Requirements

  • Frontend Frameworks & Visualization: Hands-on experience with modern JavaScript/TypeScript, state management libraries, or visualization tools (e.g., D3.js, Chart.js).
  • AI/ML & LLM Frameworks: Exposure to integrating AI/ML workflows, natural language processing (NLP), or LLM orchestration libraries (e.g., LangChain, LlamaIndex, PyTorch, Azure OpenAI, AWS Bedrock).
  • Containerization & Distributed Systems: Familiarity with Docker, Kubernetes, Apache Kafka, Apache Spark, Elasticsearch, or Redis.
  • Infrastructure as Code (IaC): Exposure to Terraform, AWS CloudFormation, or Azure ARM/Bicep templates.
  • Cyber & Protocol Analysis: Familiarity with network analysis tools (e.g., Wireshark, tcpdump) or basic operating system internals.
  • Cloud Certifications: An associate-level cloud certification (e.g., AWS Certified Solutions Architect – Associate, AWS Certified Developer, or Microsoft Certified: Azure Developer Associate).

Ready to Apply?

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