5 hours ago
Base Salary
$210k - $275k/yr
Responsibilities
- Define and drive architectures for scalable backend services and infrastructure using distributed databases, messaging systems, caching, and big data platforms.
- Build and enhance Python backend systems that integrate with machine learning and AI models.
- Design and implement Django-based business logic integrated with databases and AI components.
- Write reusable, efficient, maintainable code for high-performance web services and real-time AI analytics.
- Partner with AI teams to streamline data pipelines, optimize model deployment, and support AI-based product features.
- Influence infrastructure roadmaps and communicate complex technical strategies to stakeholders across the organization.
Requirements
- Bachelor's, Master's, or Ph.D. in Computer Science or a related field.
- 10+ years of experience developing and architecting large-scale web services.
- Strong expertise in databases, distributed systems, backend performance optimization, and machine learning infrastructure requirements.
- Understanding of database internals, transactions, indexing, and schema design for AI data workloads.
- Expert proficiency in Python or programming experience with Go, Java, or C++.
- Extensive experience with Django, MySQL, Redis, Elasticsearch, Kafka, and Cassandra.
- Hands-on experience deploying and managing services on AWS, particularly those interfacing with machine learning platforms.
- Substantial production server or equivalent backend experience.
- Familiarity with HTTP, networking principles, API design patterns, operating systems, and Linux is beneficial.
- Strong ownership, communication, curiosity, attention to detail, and experience collaborating with AI-focused teams.
Benefits
- Hybrid work arrangement, as indicated by the #LI-Hybrid designation.
- Comprehensive total rewards package in addition to base salary.
- Equal opportunity employer with reasonable accommodations available throughout the hiring process.
About Otter.ai
Otter.ai builds an AI meeting assistant that records, transcribes, and summarizes meetings and generates action items for teams and professionals. The subscription-based service offers individual, business, and enterprise plans, with apps for web, mobile, and desktop and integrations with Zoom, Google Meet, and Microsoft Teams. Founded in 2016 and headquartered in Mountain View, California, the company is privately held.