Senior Cloud Software Engineer/Architect

Redhorse Corporation•Gainesville, VA

About The Position

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.

Requirements

Active Top Secret (TS) security clearance.
Bachelor’s degree in Computer Science, Computer Engineering, Software Engineering, or a related STEM discipline.
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 (Bash, 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 database systems (SQL and NoSQL).

Nice To Haves

Prior experience leading subsystem architecture or holding 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 technologies like Docker, Kubernetes, Apache Kafka, Apache Spark, Elasticsearch, or Redis.
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).
Familiarity with network analysis tools (e.g., Wireshark, tcpdump), OS internals, or vulnerability analysis workflows.
Practical experience with Terraform, AWS CloudFormation, or Azure ARM/Bicep.

Responsibilities

Design, build, and optimize scalable, fault-tolerant cloud architectures and microservices across AWS and Microsoft Azure (GovCloud/commercial).
Lead the end-to-end development of backend services, RESTful APIs, and modern, responsive web user interfaces (UIs) that support complex cyber data visualization.
Integrate cognitive services, vector databases, and Large Language Models (LLMs)/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 (IaC), automated testing, and secure CI/CD pipelines to ensure rapid, reliable deployment across secure environments.
Provide technical guidance to junior/mid-level developers, contribute to architectural reviews, and interface with federal stakeholders to align engineering efforts with mission goals.