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Director of Production Engineering

Legion

Rolling deadlineUSAUSD220,000–265,000

About this opportunity

Director of Production Engineering Remote, United States About this Position Are you passionate about building the reliability, automation, and security foundations that let engineering teams move fast with confidence? At Legion, we are seeking a Director of Engineering, DevOps & SRE to lead the teams responsible for the availability, scalability, and security of our production environment. Our production infrastructure runs on AWS, leveraging services such as EKS, RDS, and a broad set of AWS-native technologies. You will partner closely with engineering and IT to build resilient systems, drive operational excellence, and ensure our platform meets the highest standards of security and compliance. This is a hands-on leadership role where you'll spend ~20-30% of your time contributing directly to architecture, tooling, and incident response, and the rest driving vision, roadmap, and cross-team execution. Responsibilities • Hire and build a globally-distributed DevOps/SRE engineering team. Recruit, mentor, and manage engineers, and foster a culture of ownership, collaboration, and continuous improvement. • Own the reliability and infrastructure roadmap for our AWS-based production environment, including EKS, RDS, and related AWS services, ensuring scalability, high availability, and cost efficiency. • Lead the organization's security operations (SecOps) practice, including vulnerability management, threat detection, incident response, and remediation, to proactively identify and resolve security issues before they impact customers. • Define and drive engineering OKRs for infrastructure reliability, automation, and security, and track progress against measurable outcomes. • Champion observability and alerting best practices (e.g., Datadog), including automating alert triage and response to reduce mean-time-to-resolution. • Solid understanding of agentic AI infrastructure and how AI agentic workflows apply to SDLC and DevOps processes (e.g., automated investiga

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