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Engineering Director (Infrastructure)

Otter.ai

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.

Responsibilities

  • 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
  • Strong knowledge of asynchronous architectures, including message queues, worker systems, retries, idempotency, and failure recovery
  • Ability to use AI-assisted engineering and operational tools to improve team productivity, incident response, diagnostics, and infrastructure management

Requirements

  • 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
  • Experience operating latency-sensitive, high-throughput AI inference workloads in production; GPU inference optimization experience is a plus
  • 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

Join

USD 244,000 - 313,000