Lead Delivery Engineer

Lead Delivery Engineer (Secret Cleared, DMV) About Virtualitics

Virtualitics is a fast-growing, Caltech-born defense tech company (~120 people) dedicated to reversing the decline in military readiness. Virtualitics builds AI-native readiness intelligence for the US and allied nations’ defense sector. Our IRO application layer and Virtualitics AI Platform (VAIP) transform how defense organizations act on maintenance, logistics, and global force management data. Our team is actively refining agentic workflows, composable AI agents, and generative interfaces to replace static dashboards with dynamic, conversational intelligence.

What You Will Do ●Lead technical decision-making across project and platform delivery. ●Architect robust, scalable applications using sound engineering principles, managing the complete data lifecycle from acquisition to model inference and postprocessing. ●Tackle runtime performance and optimize data access patterns for highly responsive applications. ●Craft and manage dynamic dashboards using the Virtualitics AI Platform to transform complex data into intuitive visuals. ●Collaborate across the delivery team (e.g. Product, Customer Success, DevOps, and QA) to align engineering deliverables with strategic customer commitments. ●Drive execution of the product roadmap by removing bottlenecks, mitigating risks, and ensuring on-time delivery of key milestones. ●Act as the primary technical escalation point to resolve delivery challenges and facilitate rapid trade-off decisions. Core Requirements

●Clearance & Location:Must hold at least a U.S. Secretsecurity clearance and be willing to upgrade to a TS/SCI if needed. Must be willing and able to go onsite to the Mark Center up to and including 5 days a week. ●Engineering Fundamentals:A degree in Computer Scienceor related field, or 5+ years of software engineering experience. We target candidates with a strong background in software engineering and production deployment, rather than strictly research-oriented backgrounds. ●AI & Systems:A proven track record of deploying softwareinto production environments. Has shipped production-grade AI / agentic systems. ●Full Stack & DevSecOps:Understands full stack softwaredevelopment, DevSecOps, and AI systems holistically. Familiarity with Docker, Kubernetes, and Git. ●Data Ecosystem:Proficiency in Python with a solidunderstanding of the Python Data Stack (pandas, NumPy, scikit-learn, PyTorch, Matplotlib, etc.). Experience working with a wide variety of data (both structured and unstructured) from different sources. ●Culture & Values:Embody Virtualitics core valuesby bringing a positive attitude, fostering a highly collaborative environment, and always being ready to "lean in" to tackle complex challenges alongside the team. Preferred Qualifications (Pluses) ●Has contributed to building engineering excellence and has top-tier engineering experience. ●Experience with big data technologies and frameworks (Spark, Databricks, Snowflake, etc.).