Staff Backend Engineer: AI Infra & Scalable Systems

Otter.ai; Seattle (WA); On-site; USD 210,000 - 275,000; Full time

Job summary

Otter.ai is seeking an experienced Staff Software Engineer, Backend (Infrastructure) to lead the development, deployment, and management of scalable web services and infrastructure for AI-driven products. You will work with AI researchers and product teams to build robust systems that support enterprise clients across industries.

You will architect scalable solutions using MySQL, Vitess, Kafka, Cassandra, Redis, and big data platforms, and apply Python, Django, and AWS to enable AI workflows and

Qualifications

• Bachelor's, Master's, or Ph.D. in Computer Science or related field.
• 10+ years building and architecting large-scale web services.
• Expertise in distributed systems, databases, and performance optimization.
• Strong Python background and experience with Go/Java/C++.
• Experience with Django and AI/inference infrastructure.
• Hands-on AWS deployment and ML integration experience.

Responsibilities

• Define and drive architecture of scalable backend services for AI workloads.
• Collaborate with AI researchers, product managers, and technologists.
• Lead deployment and maintenance of services on AWS.
• Ensure high-quality, maintainable code and strong engineering practices.

Skills

Distributed systems

Database internals

Python

Go/Java/C++

Django

AWS

Large-scale web services

Communication

Education

Bachelor's, Master's, or Ph.D. in Computer Science

Tools

MySQL

Vitess

Kafka

Cassandra

Redis

Elasticsearch

Job description

Otter.ai is seeking an experienced Staff Software Engineer, Backend (Infrastructure) to lead the development, deployment, and management of scalable web services and infrastructure for AI-driven products. You will work with AI researchers and product teams to build robust systems that support enterprise clients across industries.

You will architect scalable solutions using MySQL, Vitess, Kafka, Cassandra, Redis, and big data platforms, and apply Python, Django, and AWS to enable AI workflows and