Principal Platform Engineer (AI & Infrastructure)

Join True Anomaly, a fast-growing defense technology company, as a Principal Platform Engineer specializing in AI and infrastructure. In this role, you will be the most senior individual contributor and trusted AI technologist on the platform engineering team. You will shape the technical roadmap, guide high-level architecture, and advise teams on how to apply AI. You will also support every team in platform engineering, including infrastructure, AI, and data. This is a unique opportunity to make a significant impact on the future of space security.

• Steer the direction of True Anomaly's AI and infrastructure initiatives, setting the vision for how the company uses AI to deliver space superiority.
• Shape the technical roadmap for the platform engineering organization, guiding the high-level architecture and design of the platforms and infrastructure.
• Act as the technical anchor for the team, bringing a breadth of cross-discipline experience across AI platforms, cloud infrastructure, DevOps, SRE, systems design, and technical decision-making.
• Demonstrated ability to work across a broad technical surface area, context-switching between AI platforms, infrastructure, application development, and platform architecture, and to work across teams to understand requirements and seek consensus
• Hands-on experience with large language model APIs, including prompt engineering, tool use, retrieval-augmented generation (RAG), and agent frameworks (e.g. CrewAI, Pydantic AI), and a point of view on where agentic engineering is headed
• US Citizenship and ability to obtain and maintain a Top-Secret security clearance
• Self-directed and comfortable operating with high autonomy in a fast-paced environment where priorities shift and the playbook is being written in real time
• 12+ years of software engineering, DevOps, SRE, or cloud engineering experience, with a track record of setting technical direction across multiple teams or domains, owning roadmaps, and making architectural decisions that others build on
• Experience using AI-powered development tools to deliver production code and automate routine work, and the ability to leverage AI as a force multiplier for yourself and the teams around you
• Strong experience with the foundations modern engineering teams rely on: infrastructure-as-code (e.g. Terraform), CI/CD and deployment standards, developer platforms and shared tooling, and the cloud networking and identity underneath them
• Strong general software background, with real experience building, deploying, and operating production systems on cloud. You understand a professional software development lifecycle end to end, and you understand what constitutes maintainable code
• A track record of taking ambiguous, high-stakes problems from zero to a delivered system, including framing the problem when the requirements and implementation are undefined
• Deep expertise in AI platforms and agentic engineering, paired with strong, hands-on command of cloud infrastructure, DevOps, CI/CD, developer experience, and compute, sufficient to set direction and course-correct across the platform
• Experience deploying and operating production workloads across cloud environments (AWS, Azure, GCP), including the networking, identity, and CI/CD foundations they depend on
• Strong communication skills and the ability to translate technical AI concepts for non-technical audiences, and to influence executive leadership on technical direction
• Experience with data platforms, pipelines, or big-data infrastructure, and the ability to help set technical direction for the data team
• Experience deploying AI or ML systems in government, defense, or regulated environments with security and compliance constraints
• Familiarity with government cloud environments (AWS GovCloud, Azure Government) and authorization frameworks (FedRAMP, NIST 800-53, IL4/IL5)
• General experience with various AI technologies, like model harnesses, agentic coding tools, skills, MCPs, RAG, embedding pipelines, etc
• Experience with LLM eval frameworks, OpenTelemetry tracing, and other model measurement and observability frameworks
• Experience with containers and orchestration, service mesh, and artifact/registry management
• Experience building knowledge retrieval systems, embedding pipelines, or enterprise search infrastructure
• Background in developer tooling, platform engineering, or internal platform teams at high-growth technology companies
• Active U.S. Secret or Top-Secret security clearance