Job description

About the Organization 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. Key Responsibilities 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. Required Experience/Clearance 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). Desired Experience 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. The salary range provided for this position represents the anticipated base salary for successful candidates. Actual compensation will be determined based on a variety of factors, including relevant experience, education, certifications, skills, security clearance level, geographic location, market conditions, and internal equity. In addition to base salary, eligible employees may participate in Redhorse's comprehensive benefits programs and may be eligible for performance-based or other incentive compensation, where applicable. Redhorse Corporation is an equal opportunity employer. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability, or any other protected class. If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to access job openings or apply for a job on this site as a result of your disability. You can request reasonable accommodations by contacting Talent Acquisition at Talent-Acquisition@redhorsecorp.com Redhorse Corporation shall, in its discretion, modify or adjust the position to meet Redhorse’s changing needs. This job description is not a contract and may be adjusted as deemed appropriate in Redhorse’s sole discretion.

Requirements

Must-haves

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.
Required Experience/Clearance
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).

Nice-to-haves

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.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aiawsazuremlmachine learningci/cdpythonjavaapisqlreactangularvuetypescriptjavascriptdockerkubernetesllm

Platform: lever
Effort: quick