Senior Cloud Software Engineer/Architect

Now is a great time to join Redhorse Corporation. We are a solution-driven company delivering data insights and technology solutions to customers with missions critical to U.S. national interests. We’re looking for thoughtful, skilled professionals who thrive as trusted partners building technology-agnostic solutions and want to apply their talents supporting customers with difficult and important mission sets.

About the Role

Redhorse transforms the way government uses data and technology. To support this mission, our Cyber Analytics team is seeking a Cloud Software Engineer/Architect (Full-Stack and AI) to help design, build, and deploy enterprise-scale, AI-enabled data processing and visualization platforms.

In this role, you will take ownership of critical components across hybrid, on-premises, and multi-cloud (AWS/Azure GovCloud) environments. You will collaborate closely with government stakeholders and engineering teams to architect scalable microservices, integrate state-of-the-art AI/ML workflows (including Large Language Models and vector search), and deliver high-performance web user interfaces for data visualization and cyber analytics. If you are looking to advance your career by solving complex technical challenges that directly impact national security missions, we encourage you to apply.

• Cloud & System Architecture: Design, build, and optimize scalable, fault-tolerant cloud architectures and microservices across AWS and Microsoft Azure (GovCloud/commercial).
• Full-Stack Engineering: Lead the end-to-end development of backend services, RESTful APIs, and modern, responsive web user interfaces (UIs) that support complex cyber data visualization.
• AI & Machine Learning Integration: Integrate cognitive services, vector databases, and Large Language Models (LLMs)/Generative AI capabilities into data processing pipelines to accelerate automated insight discovery.
• Data & Pipeline Optimization: Build and maintain high-throughput data processing workflows and distributed messaging pipelines capable of handling massive cyber datasets.
• Cyber & Security Analysis Support: Collaborate with technical specialists to support software vulnerability assessments, secure data handling, and custom tooling development.
• DevSecOps & CI/CD Automation: Implement Infrastructure as Code (IaC), automated testing, and secure CI/CD pipelines to ensure rapid, reliable deployment across secure environments.
• Technical Leadership & Mentorship: Provide technical guidance to junior/mid-level developers, contribute to architectural reviews, and interface with federal stakeholders to align engineering efforts with mission goals.

• Clearance: Active Top Secret (TS) security clearance.
• Education: Bachelor’s degree in Computer Science, Computer Engineering, Software Engineering, or a related STEM discipline.
• Experience: 6+ years of progressive professional software engineering experience designing, deploying, and maintaining production-grade applications.
• Backend Mastery: Strong proficiency in at least one modern backend language such as Python, Java, C#, or C/C++, paired with shell scripting (Bash, PowerShell).
• Cloud Platforms: Hands-on experience developing, deploying, and monitoring cloud-native applications in AWS or Microsoft Azure.
• Architectural Principles: Demonstrated knowledge of distributed systems design, microservices architecture, secure API development, and database systems (SQL and NoSQL).

We encourage all candidates who meet the basic requirements to apply, even if you do not have all of the following experience:

• Cloud Certifications & Advanced Design: Prior experience leading subsystem architecture or holding certifications such as AWS Certified Solutions Architect or Microsoft Certified: Azure Solutions Architect Expert.
• Modern Web Frontends: Experience building interactive web applications and visualizations using React, Angular, Vue.js, TypeScript, JavaScript, D3.js, or Chart.js.
• Distributed Computing & Containers: Hands-on experience with technologies like Docker, Kubernetes, Apache Kafka, Apache Spark, Elasticsearch, or Redis.
• Applied AI/ML & LLMs: Familiarity with AI/LLM orchestration frameworks (e.g., LangChain, LlamaIndex), native cloud AI services (AWS Bedrock/SageMaker, Azure OpenAI), or machine learning libraries (PyTorch, TensorFlow).
• Cyber Tooling & Network Protocols: Familiarity with network analysis tools (e.g., Wireshark, tcpdump), OS internals, or vulnerability analysis workflows.
• Infrastructure as Code (IaC): Practical experience with Terraform, AWS CloudFormation, or Azure ARM/Bicep.