Engineering Director (Infrastructure)
Otter.ai
Mountain View, CA, United States Posted October 5, 2026
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Salary Range
$244,000 - $313,000
Job Description
Join as the Director of Engineering, Infrastructure. In this hands-on leadership role, you will own our cloud infrastructure, CI/CD, DevOps, site reliability practices, and production operations. You will partner closely with various teams to deliver a reliable, scalable, secure, developer-friendly, and cost-efficient platform. Responsibilities include owning the architecture and operation of our infrastructure, translating business and product plans into infrastructure roadmaps, and improving developer velocity through automation and self-service tooling.
- Diriger les équipes responsables de l'infrastructure cloud, de l'intégration continue/de la livraison continue (CI/CD), des pratiques DevOps et des opérations de production.
- Établir des normes d'ingénierie, des métriques d'infrastructure et des pratiques d'observabilité pour garantir la fiabilité, l'évolutivité, la sécurité et l'efficacité des coûts de l'infrastructure de production.
- Recruter, développer et diriger une organisation d'ingénierie d'infrastructure performante, en tant que joueur-coach techniquement crédible.
- 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
Required Skills
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