• Owning the vNode technical execution: Drive the architecture for how vNode wraps containerd, integrates with the kubelet, and exposes safe isolation primitives. You will set the bar for what ships, what gets deferred, and what gets redesigned. • Going deep on container runtimes and isolation: Lead the work where vNode meets containerd, Kata Containers, gVisor, runc, and the kernel. You will be the person who can explain (and improve) exactly what happens between a Pod spec and a process running under a constrained user namespace with a tight seccomp profile. • Shipping the kubelet integration surface: Own how vNode plugs into the node lifecycle: CRI, kubelet device plugins, cgroups v2, eviction, and the rough edges between Kubernetes' node model and a runtime that does not assume one tenant per node. • Raising the engineering bar: Run technical design reviews, set the pattern for testing isolation guarantees, and mentor the engineers shipping alongside you. You are not a people manager, but you are the engineer the team copies. • Being Customer Zero for vNode: Run vNode against vCluster Platform tenant clusters internally before customers see it. You will close the loop between what AI Cloud operators need and what vNode actually does in production. • Representing vNode externally: Contribute upstream where it matters (containerd, runc, Kubernetes SIG-Node), write the technical posts that explain why namespace-based isolation is the right answer, and represent vCluster Labs at KubeCon-class venues when the timing is right.

• Define and evolve the end-to-end architecture for Unstructured’s data transformation and retrieval platform. • Build and scale distributed systems that process massive volumes of unstructured data across diverse formats and sources. • Serve as the company-wide authority on Kubernetes orchestration, cluster design, performance tuning, and reliability. • Lead Python architecture and best practices—ensuring performance, modularity, and maintainability across services. • Design and optimize Postgres schemas, queries, and indexing strategies to support large-scale metadata and retrieval pipelines. • Mentor senior engineers through design reviews and code guidance, raising the bar for technical excellence across the org. • Partner with the infrastructure and product teams to translate research prototypes into production-grade systems. • Evaluate emerging technologies and open-source tools in LLM infrastructure, retrieval, and orchestration—deciding where and how to integrate them.

• Own the technical vision for some of the most complex, high-impact systems powering federal and public sector data pipelines. • Drive architectural strategies that prioritize scale, performance, and security compliance. • Write production-ready code and lead projects that directly support mission-critical workloads. • Solve deep technical challenges like data orchestration at scale, secure data flow optimization, and AI-first infrastructure for sensitive workloads. • Align engineering, product, and go-to-market teams to deliver solutions that meet public sector compliance and security needs. • Guide architectural decisions that balance innovation with risk mitigation.

• Develop tools, methodologies, and infrastructure to support Red Team engagements in a variety of cloud environments and novel platforms • Participate in security assessments against a diverse cloud environment and find vulnerabilities in software, systems, and networks • Set scope, objectives, and timelines for security assessments and leverage data to create meaningful metrics • Work with security and engineering teams to communicate findings, recommendations, and knowledge to key stakeholders • Play a critical role in building a Red Team that has a wide scope and impact