Staff Software Engineer, Infrastructure (ML and Real-Time Speech)

The Opportunity

We’re looking for an experienced Staff Software Engineer to join a team that empowers you to grow, be your authentic self, and do your best work every day. At Otter, we’ve built a platform that simplifies note taking, saves time, improves productivity and accessibility, and makes collaboration effortless. If this mission resonates with you, let’s talk.

We need your help building the infrastructure that powers some of the most advanced multi-language, automatic speech recognition (ASR) and real-time speaker identification systems on the market. You’ll design and scale the backend platforms that bring cutting-edge speech AI to life, working shoulder-to-shoulder with our machine learning researchers and product managers to deliver resilient, high-performance systems that enable real-time, multilingual AI experiences at scale.

If you’re passionate about building rock-solid infrastructure for AI-driven products, enjoy solving complex distributed-systems problems, and want your work to have an immediate impact on millions of users, this is your opportunity.

Your Impact

• Design, build, and operate backend services that power real-time, multi-language, ASR and speaker identification features.
• Architect scalable, fault-tolerant infrastructure across databases, queues, and pub/sub systems to support low-latency ML workflows.
• Partner with ML teams to apply models into production (training pipelines, model deployment, versioning, and monitoring) for real-time and batch inference.
• Improve system observability, reliability, and performance for large-scale speech data ingestion and streaming.
• Contribute to the evolution of our platform architecture, including microservices, orchestration (Kubernetes), and API integrations.
• Collaborate with cross-functional teams to streamline developer experience, CI/CD pipelines, and automated testing for ML-backed services.

We’re Looking for Someone Who

• Has 10+ years of experience designing and building scalable backend systems and distributed infrastructure.
• Is fluent in Python (bonus for C++) and familiar with building high-performance services.
• Understands data struct