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Engineering Director (Infrastructure)

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Onsite

Engineering Director (Infrastructure)

Otter.ai

Engineering Director (Infrastructure)

Skills

DjangoPythonMySQLAmazon EC2Machine LearningAIAWSKubernetesFastAPIFinancial AnalysisComplianceRisk ManagementTerraform

16 days ago

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Important information


Contract type:

Permanent

Salary:

$244,000 – $313,000 / year

Location:

United States

Work mode:

Onsite

Published on:

5 October 2026

What they need


  • Otter.ai is seeking a Director of Engineering, Infrastructure to lead the teams that power our products at scale. This leader will own our cloud infrastructure, CI/CD, DevOps, site reliability practices, and production operations
  • This is a hands-on, high-impact leadership role for someone who can set infrastructure strategy while going deep on critical technical and operational challenges. You will partner closely with Product, Product Engineering, AI/ML, Security, and Finance to deliver a platform that is reliable, scalable, secure, developer-friendly, and cost-efficient
  • 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

Benefits

  • Compensation: With highly competitive salaries and equity option packages, everyone’s an owner here.
  • Hybrid Working: You can mix and match working from our Mountain View or San Francisco office, plus a couple days from home.
  • Social Gatherings: Quarterly gatherings in the Bay Area for some team real fun and authentic connection.
  • Health and Wellness: Comprehensive medical, dental, vision, life insurance, disability, and wellness benefits that start the first day you do.
  • PTO: Start with a minimum of 15 days of paid time off, plus up to 18 weeks for maternity leave and 8 weeks for paternity leave.
  • 401(k): Plans to help meet your retirement goals because we care about your future.- Experience building strong production reliability practices, including observability, incident management, on-call operations, disaster recovery, multi-region architectures, and zero-downtime migrations
  • 10+ years of software development or engineering experience, including 4+ years of engineering management experience
  • 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
  • Ability to move effectively between architecture, operational data, financial analysis, organizational design, and executive communication, with strong cross-functional influence
  • Deep experience designing and operating highly available, fault-tolerant distributed systems
  • 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
  • Familiarity with relevant application technologies such as Python, Django, FastAPI, and WebSockets
  • A track record of materially improving cloud efficiency and infrastructure unit economics without compromising reliability or performance
  • Strong knowledge of asynchronous architectures, including message queues, worker systems, retries, idempotency, and failure recovery
  • Experience operating latency-sensitive, high-throughput AI inference workloads in production; GPU inference optimization experience is a plus
  • Ability to use AI-assisted engineering and operational tools to improve team productivity, incident response, diagnostics, and infrastructure management
  • Bachelor’s degree or higher in Computer Science or a related technical field
  • Deep understanding of MySQL operations, including performance, replication, clustering, backup, and disaster recovery
  • Significant experience leading infrastructure, DevOps, SRE, or platform teams responsible for production systems at scale

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