Mid Level Cloud Software Engineer

Redhorse Corporation•Gainesville, VA

2d•Hybrid

About The Position

Redhorse Corporation is seeking a Mid-Level Cloud Software Engineer (Full-Stack and AI) to join their Cyber Analytics team. This role involves building, optimizing, and deploying enterprise-scale, AI-enabled data processing and visualization systems for federal customer environments across hybrid, on-premises, and multi-cloud (AWS/Azure GovCloud) ecosystems. The engineer will contribute to the full software lifecycle, including developing scalable backend services, integrating AI/ML workflows, and building responsive web user interfaces. This is an opportunity for a motivated engineer to apply modern cloud and AI capabilities to national security challenges.

Requirements

Active Top Secret (TS) security clearance.
Bachelor’s degree in Computer Science, Computer Engineering, Software Engineering, or a related technical STEM discipline.
2+ years of progressive software development experience delivering scalable applications in operational or production environments.
Hands-on experience with core backend programming languages such as Python, Java, C#, or C/C++, along with scripting capabilities (Bash, PowerShell).
Practical experience deploying and interacting with cloud services within AWS or Microsoft Azure.
Solid foundation in RESTful API development, relational/NoSQL databases, version control (Git), and software design principles.

Nice To Haves

Hands-on experience with modern JavaScript/TypeScript, state management libraries, or visualization tools (e.g., D3.js, Chart.js).
Exposure to integrating AI/ML workflows, natural language processing (NLP), or LLM orchestration libraries (e.g., LangChain, LlamaIndex, PyTorch, Azure OpenAI, AWS Bedrock).
Familiarity with Docker, Kubernetes, Apache Kafka, Apache Spark, Elasticsearch, or Redis.
Exposure to Terraform, AWS CloudFormation, or Azure ARM/Bicep templates.
Familiarity with network analysis tools (e.g., Wireshark, tcpdump) or basic operating system internals.
An associate-level cloud certification (e.g., AWS Certified Solutions Architect – Associate, AWS Certified Developer, or Microsoft Certified: Azure Developer Associate).

Responsibilities

Develop, test, and maintain highly available, secure microservices and cloud components across AWS and Microsoft Azure (GovCloud and commercial).
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.
Integrate cognitive services, vector databases, and Large Language Models (LLMs)/Generative AI capabilities into data pipelines to support automated insight discovery.
Assist in building and maintaining distributed data processing workflows and event-driven messaging systems to handle high-throughput cyber datasets.
Collaborate with technical teams to analyze software behaviors, evaluate security features, and support the development of custom data extraction and recovery tools.
Utilize Infrastructure as Code (IaC) and participate in CI/CD pipeline automation and automated testing to ensure reliable deployment across secure environments.
Work closely with senior architects, data scientists, and federal stakeholders to translate user requirements into robust, deployable software features.