Mid Level Cloud Software Engineer

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 (Full-Stack and AI) – Mid-Level** to play a key role in building, optimizing, and deploying enterprise-scale, AI-enabled data processing and visualization systems. In this role, you will support mission-critical federal customer environments operating across hybrid, on-premises, and multi-cloud (AWS/Azure GovCloud) ecosystems. You will contribute across the full software lifecycle—from developing scalable backend services and integrating modern Artificial Intelligence (AI/ML) workflows to building responsive, intuitive web user interfaces for analysts and end-users. If you are a motivated engineer eager to apply modern cloud and AI capabilities to real-world national security challenges, we encourage you to apply. ### 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. ### Required Experience/Clearance - **Security Clearance:** Active Top Secret (TS) security clearance. - **Education:** Bachelor’s degree in Computer Science, Computer Engineering, Software Engineering, or a related technical STEM discipline. - **Experience:** 2+ years of progressive software development experience delivering scalable applications in operational or production environments. - **Backend Proficiency:** Hands-on experience with core backend programming languages such as Python, Java, C#, or C/C++, along with scripting capabilities (Bash, PowerShell). - **Cloud Foundations:** Practical experience deploying and interacting with cloud services within AWS or Microsoft Azure. - **Core Software Concepts:** Solid foundation in RESTful API development, relational/NoSQL databases, version control (Git), and software design principles. ### Desired Experience We encourage all candidates who meet the basic requirements to apply, even if you do not have any of the following experience: - **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).