• Design and prototype generative AI experience focused on accelerating autonomy development • Work closely with members of the Office of the CTO to crystallize the vision of the Hivemind product and its documentation • Lead the user experience design of Hivemind Generative AI • Work closely with the technical leads of Hivemind Commander (mission planning, command and control, air-ground communications) and Hivemind Design (configurations, test and evaluation, rehearsal, analysis) to enhance the user experience of their products • Conduct user research to understand user personae and their needs • Investigate competing products and their user experiences, synthesize findings to present to engineering and product leadership

• Serve as, or strongly support, the PWS Software Integration Engineer • Work on revolutionary federal IT infrastructure • Help in operational support and take the technology to the next level

• Lead the technical design and development of scalable Quickbase solutions, translating business requirements into well-structured applications, workflows, integrations, and data models. • Serve as the lead developer on design projects and Ongoing Development Plan engagements, guiding development efforts, breaking down solution designs into executable tasks, and ensuring adherence to architectural and development standards. • Optimize application performance, usability, and maintainability through sound system design, data modeling, and continuous improvement of delivered solutions. • Partner with client stakeholders to understand business challenges, communicate technical concepts clearly, and guide platform decisions that balance speed, cost, scalability, and long-term value. • Collaborate closely with project managers to maintain scope discipline, delivery timelines, and successful project outcomes. • Identify opportunities to expand or enhance Quickbase solutions that improve client operations and deepen platform adoption. • Apply and reinforce VeilSun development standards, governance practices, and reusable solution patterns to ensure consistency and efficiency across projects. • Mentor developers and provide technical guidance that strengthens team capability and promotes structured problem-solving.

• Design, develop, and operate scalable backend services and microservices using modern Python (3.11+). • Build high-performance, well-documented RESTful and/or async APIs (FastAPI / Flask), with attention to latency, throughput, and reliability. • Write clean, typed, reusable, and testable code, backed by automated tests (pytest) and meaningful coverage. • Design systems for high availability, horizontal scalability, and low latency; reason about failure modes, backpressure, and graceful degradation. • Integrate and serve AI/ML capabilities — model/LLM API integration, retrieval pipelines (RAG), vector search, and inference endpoints — in collaboration with Data Science. • Integrate relational, NoSQL, caching, and vector databases, plus cloud data warehouses (Snowflake) and cloud-based storage. • Instrument services for observability (structured logging, metrics, tracing) and own production troubleshooting and performance optimization. • Implement security best practices: authentication, authorization, secrets management, and data protection. • Participate in architecture discussions, design reviews, and code reviews; help define and uphold engineering standards. • Mentor junior engineers and contribute to a strong engineering culture. • Work with DevOps / Platform teams on CI/CD pipelines, infrastructure-as-code, and deployment automation.