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Engineering Director, Infrastructure

Otter.ai· Engineering
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Hybrid (Mountain View, CA)$244k - $313kfull-timePosted 2w ago

About the role

Director of Engineering, Infrastructure to lead the teams powering Otter.ai products at scale, owning cloud infrastructure, CI/CD, DevOps, site reliability, and production operations with a hands-on, high-impact leadership approach.

Responsibilities

  • Own the architecture and operation of cloud, compute, networking, database, production, and AI inference infrastructure.
  • Translate business and product plans into infrastructure roadmaps, capacity requirements, staffing plans, and investment decisions.
  • Ensure production infrastructure is reliable, scalable, secure, performant, and cost-efficient.
  • Establish infrastructure metrics, engineering standards, observability, and clear accountability, proactively surfacing risks and opportunities.
  • Improve developer velocity through automation, CI/CD, and self-service tooling.
  • Strengthen incident response, disaster recovery, and business continuity practices.
  • Partner with AI/ML teams to optimize inference performance, reliability, resource utilization, and cost.
  • Embed access control, compliance, and risk management into infrastructure architecture and operations.
  • Recruit, develop, and lead a high-performing infrastructure engineering organization as a technically credible player-coach.
  • Communicate infrastructure priorities, risks, investments, and tradeoffs clearly to the executive team, and partner with Engineering and Finance on cost and capacity decisions.

Qualifications

  • Bachelor’s degree or higher in Computer Science or a related technical field.
  • 10+ years of software development or engineering experience, including 4+ years of engineering management experience.
  • Significant experience leading infrastructure, DevOps, SRE, or platform teams responsible for production systems at scale.
  • Deep experience designing and operating highly available, fault-tolerant distributed systems.
  • Strong knowledge of AWS and cloud-native infrastructure, including Kubernetes/EKS, EC2, Auto Scaling Groups, load balancing, networking, storage, IAM, monitoring, and infrastructure-as-code technologies such as Terraform.
  • Deep understanding of MySQL operations, including performance, replication, clustering, backup, and disaster recovery.
  • Strong knowledge of asynchronous architectures, including message queues, worker systems, retries, idempotency, and failure recovery.
  • Experience building strong production reliability practices, including observability, incident management, on-call operations, disaster recovery, multi-region architectures, and zero-downtime migrations.
  • A track record of materially improving cloud efficiency and infrastructure unit economics without compromising reliability or performance.
  • Experience operating latency-sensitive, high-throughput AI inference workloads in production; GPU inference optimization experience is a plus.
  • Experience scaling infrastructure to support rapid product and customer growth, including both self-serve products and enterprise customers with demanding security, reliability, and compliance requirements.
  • Ability to move effectively between architecture, operational data, financial analysis, organizational design, and executive communication, with strong cross-functional influence.
  • Ability to use AI-assisted engineering and operational tools to improve team productivity, incident response, diagnostics, and infrastructure management.
  • Familiarity with relevant application technologies such as Python, Django, FastAPI, and WebSockets.

Skills

Required:Cloud infrastructure leadershipAWS and cloud-native technologiesMySQL operationsObservability and reliability practicesCross-functional leadership and communication
Nice to have:AI inference optimization

Benefits

  • Salary range: $244,000 to $313,000 USD per year.
Last updated Oct 7, 2026. Interested? Apply on the company site.

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