Engineering Director, Infrastructure

Otter.ai is seeking a Director of Engineering, Infrastructure to lead the teams that power our products s leader will own our cloud infrastructure, CI/CD, Dev Ops, site reliability practices, and production operations.

Otter.ai is seeking a Director of Engineering, Infrastructure to lead the teams that power our products s leader will own our cloud infrastructure, CI/CD, Dev Ops, 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.

• 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, Dev Ops, 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…