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Redhorse

Government consulting with AI-driven digital transformation

Senior Cloud Software Engineer/Architect

AI Application Engineering +1Confirmed live in the last 24 hours
Full-time$145k - $185k /yr

About the Job

Requirements

  • A bachelor's degree in Computer Science, Computer Engineering, Software Engineering, or a related STEM discipline.
  • An active Top Secret security clearance.
  • At least 6 years of progressive professional software engineering experience designing, deploying, and maintaining production-grade applications.
  • Strong proficiency in at least one modern backend language, such as Python, Java, C#, or C/C++, paired with shell scripting in Bash or PowerShell.
  • Hands-on experience developing, deploying, and monitoring cloud-native applications in AWS or Microsoft Azure.
  • Demonstrated knowledge of distributed systems design, microservices architecture, secure API development, and SQL and NoSQL database systems.

Responsibilities

  • Design, build, and optimize scalable, fault-tolerant cloud architectures and microservices across AWS and Microsoft Azure, including GovCloud and commercial environments.
  • Lead end-to-end development of backend services, RESTful APIs, and modern responsive web user interfaces supporting complex cyber data visualization.
  • Integrate cognitive services, vector databases, and Large Language Models or Generative AI capabilities into data-processing pipelines to accelerate automated insight discovery.
  • Build and maintain high-throughput data-processing workflows and distributed messaging pipelines capable of handling massive cyber datasets.
  • Collaborate with technical specialists to support software vulnerability assessments, secure data handling, and custom tooling development.
  • Implement Infrastructure as Code, automated testing, and secure CI/CD pipelines for rapid, reliable deployment across secure environments.
  • Provide technical guidance to junior and mid-level developers, contribute to architectural reviews, and interface with federal stakeholders to align engineering efforts with mission goals.

Desired Qualifications

  • Prior experience leading subsystem architecture or certifications such as AWS Certified Solutions Architect or Microsoft Certified: Azure Solutions Architect Expert.
  • Experience building interactive web applications and visualizations using React, Angular, Vue.js, TypeScript, JavaScript, D3.js, or Chart.js.
  • Hands-on experience with Docker, Kubernetes, Apache Kafka, Apache Spark, Elasticsearch, or Redis.
  • Familiarity with AI/LLM orchestration frameworks such as LangChain or LlamaIndex, native cloud AI services such as AWS Bedrock, SageMaker, or Azure OpenAI, or machine learning libraries such as PyTorch or TensorFlow.
  • Familiarity with network analysis tools such as Wireshark or tcpdump, operating system internals, or vulnerability analysis workflows.
  • Practical experience with Terraform, AWS CloudFormation, or Azure ARM/Bicep.

About the Company

Redhorse

Government consulting with AI-driven digital transformation

Redhorse helps government agencies improve operations by providing consulting and hands-on delivery that combines digital transformation, artificial intelligence, and sector expertise in National Security, Networking Technology and Infrastructure, Energy, and the Environment. The company works with clients on mission-critical projects, analyzing data and systems and then designing architectures, implementing technology changes, and guiding long-term partnerships in regulated environments. Its differentiators are close, collaborative client work, sector-specific knowledge, and a focus on outcomes that align with public sector security and compliance needs. The goal is to help government agencies operate more efficiently, securely, and effectively through data-driven strategies and AI-enabled transformations.

Company size
201-500
Company stage
Growth Equity (Venture Capital)
Total funding
Not listed
Headquarters
Arlington County, VA
Founded
2008

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