Software Engineer, Platform

David AI • San Francisco, CA

1d • $160,000 - $200,000

About The Position

As a Software Engineer, Platform at David AI, you’ll work across product surfaces to design clean APIs, build scalable services, and keep our systems performant under the weight of petabytes of audio data. In this role, you will 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.

Requirements

• 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.

Nice To Haves

• 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.

Responsibilities

• 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.

Benefits

• Unlimited PTO.
• Top-notch health, dental, and vision coverage with 100% coverage for most plans.
• FSA & HSA access.
• 401k access.
• Meals 2x daily through DoorDash + snacks and beverages available at the office.
• Unlimited company-sponsored Barry’s classes.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed