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

Design, build, and operate backend services powering real-time, multilingual ASR and speaker identification features.
Architect scalable, fault-tolerant infrastructure across databases, queues, and pub/sub to support low-latency ML workflows.
Partner with ML engineers to productionize models, including training pipelines, deployment, versioning, and monitoring.
Improve observability, reliability, and performance for large-scale speech data ingestion and streaming.
Contribute to platform architecture evolution, including microservices, Kubernetes orchestration, and API integrations.
Enhance developer experience with CI/CD automation, testing, and tooling for ML-backed services.