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# Software Engineer, Platform

- **Company:** David AI
- **Location:** San Francisco, CA, United States
- **Experience:** Experienced
- **Salary:** $160,000.0 - $200,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Cloud Computing, Profiling, Database Design, Software Debugging, DevOps, Distributed Systems, PostgreSQL, MySQL, Service-Oriented Architecture, WebRTC, Backend, Event Driven Architecture, Restful APIs, Data Pipelines
- **Published:** June 6, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=4fff11d424c5dd40

## About the Role

Do you have experience in WebRTC?, * 3+ years backend development building scalable APIs and services.

 * Proficient with RESTful APIs, service interfaces, and database design (PostgreSQL, MySQL).
 * Strong understanding of distributed systems and service-oriented architecture.
 * Extensive cloud infrastructure and infrastructure-as-code experience.
 * Proficient in profiling, debugging, and optimizing backend systems.

Bonus points if you have

 * Experience launching systems from ground up in high-growth environments (preferred).
 * Familiarity with event-driven architectures, async processing, or large-scale data pipelines.
 * Familiarity with CI/CD pipelines and DevOps best practices.
 * Built scalable data pipelines that have facilitated large-scale event-driven workflows across large volumes of audio or video data.
 * Scaled up inference and train compute for large scale workloads in a production setting.

## Description

* Design, build, and maintain production-grade backend services that power everything from data collection to customer-facing insights.
 * Own the architecture and performance of distributed systems that ingest, transform, and serve audio data at scale.
 * Define and evolve internal APIs and service boundaries to support a growing set of ML and product features.
 * Build resilient, observable, and easy-to-debug systems with strong performance characteristics.
 * Collaborate with product, operations, and ML teams to rapidly iterate on new product + research ideas and ship fast.


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