Director of Platform Engineering (VOR)

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{
  "lists": [
    {
      "text": "Responsibilities: ",
      "content": "<div>\n<p><strong>Hands-On Engineering &amp; Architecture</strong></p>\n<ul style=\"list-style-type: disc;\">\n<li>Personally architect and code critical platform components you set the technical standard by building, not just directing</li>\n<li>Own system design decisions across VOR's data integration, workflow orchestration, and AI agent layers</li>\n<li>Conduct code reviews, set engineering standards, and establish patterns that scale across the platform</li>\n<li>Debug and resolve complex production issues spanning cloud infrastructure, distributed systems, and AI pipelines</li>\n<li>Maintain deep technical fluency in the full stack: Python, NodeJS, Go, cloud-native services (AWS GovCloud), container orchestration, data pipelines, and LLM/agent frameworks</li>\n\n<p><strong>Platform Strategy &amp; Execution</strong></p>\n<ul style=\"list-style-type: disc;\">\n<li>Own the end-to-end strategy, roadmap, and delivery of the VOR platform</li>\n<li>Drive the evolution of VOR across data integration, workflow orchestration, and AI/agent capabilities</li>\n<li>Ensure alignment between product vision, engineering execution, and mission needs</li>\n<li>Make build-vs-buy decisions grounded in hands-on technical evaluation, not slide decks</li>\n\n<p><strong>Productization &amp; Scale</strong></p>\n<ul style=\"list-style-type: disc;\">\n<li>Lead the transition from services-driven delivery to a scalable, repeatable platform model</li>\n<li>Define deployment models across hybrid cloud, enterprise, and edge environments</li>\n<li>Establish platform standards for interoperability with systems like Palantir, Databricks, and Snowflake</li>\n<li>Build and maintain CI/CD pipelines, testing infrastructure, and release processes that support rapid, reliable delivery</li>\n\n<p><strong>AI Operationalization</strong></p>\n<ul style=\"list-style-type: disc;\">\n<li>Drive the \"last mile\" of AI ensuring models and data systems are embedded into real workflows, not just prototyped</li>\n<li>Architect and implement human-in-the-loop systems that balance automation with control, explainability, and trust</li>\n<li>Oversee VOR Agents development, ensuring mission alignment and compliance through auditable, explainable, and traceable actions.</li>\n<li>Drive the implementation of evaluation frameworks, agent behavior monitoring, and red-teaming to ensure agentic systems behave safely and predictably within mission constraints.</li>\n<li>Stay current with and personally evaluate emerging AI/ML frameworks, tools, and techniques</li>\n\n<p><strong>Customer &amp; Mission Delivery</strong></p>\n<ul style=\"list-style-type: disc;\">\n<li>Partner with program teams and clients to implement VOR in real-world environments</li>\n<li>Translate complex mission requirements into platform capabilities</li>\n<li>Ensure successful deployment from pilot to production, personally engaging at breakdown points when needed</li>\n\n<p><strong>Team Leadership</strong></p>\n<ul style=\"list-style-type: disc;\">\n<li>Build and lead a high-performing team of engineers, architects, and product leaders</li>\n<li>Foster a culture of technical excellence, ownership, and shipping — lead by example at the keyboard</li>\n<li>Mentor engineers through pairing, code review, and architectural guidance</li>\n<li>Align cross-functional teams across engineering, delivery, and business units</li>\n\n</ul></ul></ul></ul></ul></ul></div>"
    },
    {
      "text": "Qualifications: ",
      "content": "<div>\n<ul style=\"list-style-type: disc;\">\n<li>Bachelor's degree in Computer Science, Engineering, or related discipline</li>\n<li>10+ years of experience in platform engineering, data systems, or AI/ML delivery, with progressive leadership responsibility</li>\n<li><strong>Currently hands-on: you write production code today, not five years ago</strong></li>\n<li>Proven track record of building and scaling platforms not just managing teams that do</li>\n<li>Deep proficiency in Python, Go, NodeJS and modern cloud-native development (AWS required; Azure/GCP a plus)</li>\n<li>Experience with containerization, orchestration (Kubernetes/ECS), and infrastructure-as-code</li>\n<li>Working knowledge of data platforms (e.g., Databricks, Snowflake, Spark) and workflow orchestration frameworks</li>\n<li>Experience with AI/ML lifecycle and operationalization — MLOps, model serving, LLM integration, agent architectures</li>\n<li>Experience working in complex, regulated, or mission-driven environments (government, defense, or national security preferred)</li>\n<li>Ability to bridge deep technical execution with executive communication and client engagement</li>\n<li>Experience in client-facing roles including pre-sales and delivery engagements</li>\n\n</ul></div>"
    },
    {
      "text": "Preferred Qualifications: ",
      "content": "<div>\n<ul style=\"list-style-type: disc;\">\n<li>Master's degree in Computer Science, Software Engineering, or related field</li>\n<li>Active TS/SCI clearance</li>\n<li>Experience with FedRAMP, IL4/IL5+, or ATO processes</li>\n<li>Hands-on experience with generative AI, multi-agent systems, or retrieval-augmented generation (RAG)</li>\n<li>Contributions to open-source projects or a visible engineering track record</li>\n<li>Relevant certifications (AWS Solutions Architect, Kubernetes, etc.)</li>\n<li>Working knowledge of Agentic AI frameworks (e.g., LangChain, LangGraph, CrewAI, or similar).</li>\n<li>Familiarity with retrieval and context engineering systems and vector search systems/vector database integration.</li>\n\n</ul></div>"
    }
  ],
  "country": "US",
  "createdAt": 1778523476595,
  "updatedAt": null,
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    "team": "Expression",
    "location": "DMV",
    "commitment": "Full Time",
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