Platform Engineering Manager

Job not on LinkedIn

🕒 August 8

🇺🇸 United States – Remote

💵 $230k - $280k / year

⏰ Full Time

🟠 Senior

🔴 Lead

🏗️ Platform Engineer

👻 Ghost score 15%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Yurts

WebsiteLinkedInAll Job Openings

11 - 50 employees

🎖️ Defense

💼 Consulting

📦 Logistics

Defense • Consulting • Logistics

Yurts is a technology company that specializes in developing AI-powered platforms for enterprises and government agencies. The company focuses on enhancing team efficiency by integrating AI assistants into everyday applications, providing solutions that streamline operations, automate workflows, and enhance security and privacy. With a strong emphasis on mission-critical security, Yurts holds credentials from departments like defense and energy, ensuring that data and operations are secure. Their platform supports secure deployment, real-time monitoring, and seamless integration with legacy systems, making it a trusted choice for organizations seeking to innovate and secure their operations.

📋 Description

• Lead, mentor, and grow engineers working across agentic AI applications and platform systems • Set expectations for team execution and delivery from early product concepts through production deployment and operation • Partner with Product, Design, Platform Engineering, and go-to-market teams to translate customer problems into engineering priorities • Establish engineering patterns for agent workflows, MCP and tool integrations, service design, APIs, deployment, and inter-service communication • Guide architecture and engineering trade-offs for product iteration, maintainability, and platform scalability • Bring an informed perspective to data infrastructure and data management for enterprise AI systems • Remove blockers and improve engineering processes while maintaining quality • Contribute directly to architecture, prototypes, and technically complex initiatives • Foster ownership, collaboration, experimentation, continuous learning, and low-ego technical decision-making • Recruit, mentor, and retain exceptional engineers

🎯 Requirements

• 8+ years of software engineering experience, including significant experience designing and operating production software systems • 2+ years of experience hiring, managing, and developing engineering teams • Strong software architecture and systems engineering background • Experience building or supporting AI/ML platforms or AI-powered products, including LLMs, AI agents, model serving, MCP, tool calling, workflows, or enterprise integrations • Hands-on experience with cloud infrastructure, distributed systems, and container orchestration technologies such as Kubernetes • Strong technical judgment and ability to make pragmatic trade-offs between speed, simplicity, scalability, and maintainability • Experience partnering closely with Product and other engineering teams to define roadmaps and deliver customer value • Proven experience hiring, mentoring, and developing high-performing engineers • Excellent communication skills and collaborative, low-ego leadership style • Excitement for 0→1 product development and building at the intersection of AI infrastructure and customer-facing experiences • US Citizenship or Greencard is required • Must be domiciled in the U.S. and maintain a permanent U.S. home address • Must provide legally authorized identification for eligibility verification through CLEAR ID • Preferred: Experience working in Rust or leading teams operating in a Rust-heavy environment • Preferred: Familiarity with AI evaluation frameworks, observability, and production • Preferred: Experience designing systems for the enterprise • Preferred: Experience in startup or high-growth environments • Preferred: Exposure to regulated or mission-critical industries such as defense, healthcare, finance, or telecommunications