O
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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