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
Experience launching systems from ground up in high-growth environments (preferred)
Responsibilities
Design, build, and maintain production-grade backend services
Own the architecture and performance of distributed systems for audio data
Define and evolve internal APIs and service boundaries
Build resilient, observable, and easy-to-debug backend systems
Collaborate with teams to rapidly iterate and ship new ideas
Benefits
Rapid career growth at one of the fastest growing Series A companies
Flexible PTO policy
Top-notch health, dental, and vision coverage with 100% company reimbursement for most plans
Paid lunch and dinner in the office, every day through DoorDash
401k access
Full Job Description
About this role
As a StaffSoftware 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.
Your background looks like
5+ 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.
