Lead Delivery Engineer

Virtualitics, Inc • District of Columbia, DC

6d • Onsite

About The Position

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.

Requirements

• Must hold at least a U.S. Secret security 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.
• A degree in Computer Science or related field, or 5+ years of software engineering experience.
• Strong background in software engineering and production deployment, rather than strictly research-oriented backgrounds.
• A proven track record of deploying software into production environments.
• Has shipped production-grade AI / agentic systems.
• Understands full stack software development, DevSecOps, and AI systems holistically.
• Familiarity with Docker, Kubernetes, and Git.
• Proficiency in Python with a solid understanding 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.
• Embody Virtualitics core values by bringing a positive attitude, fostering a highly collaborative environment, and always being ready to "lean in" to tackle complex challenges alongside the team.

Nice To Haves

• Has contributed to building engineering excellence and has top-tier engineering experience.
• Experience with big data technologies and frameworks (Spark, Databricks, Snowflake, etc.).

Responsibilities

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior