Jobs at Redhorse

• Manage project schedules, milestones, deliverables, and dependencies within established scope and budget.
• Facilitate sprint planning, daily standups, backlog refinement, sprint reviews, and retrospectives.

• Design, build, and maintain the application's database management systems in the AWS environment, including logical and physical data modeling, relational database architecture, and metadata/repository design.
• Model the request lifecycle (submission, revision, review, approval, fulfillment, dissemination...

• 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.

• 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.

• Technical Design & Architecture: Assist in the design and modeling of end-to-end architectures, system integration diagrams, and technical specifications for federal IT programs.
• Requirements Analysis: Collaborate with technical leads and stakeholders to decompose functional, operational, and mission requirements into structured solution designs and technical user stories.

• Execute program initiatives from inception to deployment, ensuring strict alignment with business and military mission objectives.
• Design, build, enhance, and maintain intuitive interactive dashboards and web applications using Qlik Sense and Streamlit to support aircraft maintenance analytics.

• Support CBM+ program initiatives from inception to deployment, ensuring alignment with overarching business and mission objectives.
• Oversee end-to-end data collection and processing, including the implementation, sustainment, and optimization of ETL pipelines.

• Lead and perform systems engineering efforts across Windows and Linux servers, workstations, storage platforms, and virtualization environments.
• Provide in-depth Tier 2 through Tier 4 engineering support, root-cause troubleshooting, and problem resolution for mission technology products and applications in a 24/7 environment.

• Ingest, configure, and transform structured, semi-structured, and unstructured datasets to meet mission partner and stakeholder requirements.
• Build, automate, and maintain scalable ETL/ELT pipelines supporting DevOps and rapid analytics delivery.

• You’ll decompose problems into specs precise enough that an agent can implement them directly and concretely, and you’ll own everything you merge, because agent output is your output.
• You’ll review rigorously. The bar is production software for a regulated federal financial system: test-driven development, human review on every merge, and a rigorous CI scans.

• Design, develop, and integrate custom plugins, services, and middleware within the TAK ecosystem (ATAK, WinTAK, TAK Server, and MILTAK).
• Architect and implement Cursor on Target (CoT) data schemas, translations, and event-routing pipelines between tactical devices and enterprise cloud systems.

• Strategic Architecture and Roadmapping: Lead the Generative AI, LLM, and Search Architecture Optimization Initiatives for the enterprise. Develop and maintain the CDAO’s technical CONOPS for leveraging government cloud solutions, including Azure OpenAI, AWS Bedrock, and GCP Vertex AI, ensuring strategic alignment with the National Defense Strategy. Oversee strategic LLM Model migrations and deprecations.

• Automated Source Discovery & Metadata Ingestion (Technical Metadata)
• + Supplying the “Raw Ingredients” for the Semantic Knowledge Graph: Assist in designing and deploying automated pipelines that programmatically discover enterprise data assets and interface with existing data catalogs. Scan, catalog, and ingest technical metadata — including schemas, tables, columns, and API endpoints — from legacy, cloud, and distributed environments to establish baseline assets for alignment to the Enterprise Core Ontology.

Scaling the Semantic Map: Use automated pipelines and orchestrated workflows to ingest metadata at scale rather than relying on manual, field-by-field mapping. Help keep the ontology current as a dynamic, living “semantic control plane” rather than a static document.
Establishing the Entry Point for Lineage: Register the technical origin of ingested data and capture metadata at the point of ingestion. This creates the foundation for automated provenance chains that track where data originated and how it changes over time.

• Design and implement autonomous AI agents capable of planning, reasoning, and executing multi-step workflows.
• Develop orchestration pipelines using modern agent frameworks.

• Independently develop and execute sophisticated test scripts to certify system changes for production.
• Produce expert-level test plan documents and comprehensive requirement specifications.

• Provide architectural and big-picture oversight for the development of new or enhanced products.
• Articulate a clear architectural vision and conceptualize alternative approaches through rigorous experimentation.

• Articulate and champion the architectural vision for new and enhanced software products.
• Conceptualize and experiment with alternative architectural approaches to identify the most effective solutions for complex missions.

• Design, develop, test, and deploy production-quality cyber tools and software capabilities to meet mission-critical customer requirements.
• Apply expertise in vulnerability research, reverse engineering, and exploit development to guide high-level software design decisions.

• Secure enterprise and mission IT infrastructures across diverse operating systems, networks, and web/database applications.
• Manage and harden storage, boundary/perimeter devices, and logging/monitoring solutions within cloud environments (e.g., C2S) and classified enclaves.

• Design, develop, and maintain robust ETL/ELT data pipelines
• Build and optimize data architectures in cloud environments