Software Engineer, Security

david-ai; San Francisco (CA); On-site; USD 130,000 - 170,000; Full time

Benefits offered by this job

Unlimited PTO

Comprehensive health, dental, and vision coverage

401k access

Meals 2x daily

Company-sponsored classes

Job summary

David AI in San Francisco is looking for a Software Engineer, Security to shape and build the infrastructure for reliability and scalability. You will work with engineering teams to ensure systems are efficient and resilient.

The ideal candidate will have over 3 years of experience in Site Reliability or Infrastructure Engineering. Responsibilities include designing secure cloud infrastructure on AWS and improving observability practices.

Benefits include unlimited PTO, comprehensive health coverage, and company-sponsored classes.

Qualifications

• 3+ years of experience in Site Reliability, Infrastructure, or Platform Engineering supporting large-scale SaaS or cloud systems.
• Hands-on experience applying Security best practices in production systems and cloud infrastructure.
• Strong experience building and running reliable, highly available, and scalable systems.

Responsibilities

• Own David AI’s observability stack, providing visibility into system health and reliability.
• Design systems that are scalable, resilient, and reliable.
• Implement secure, scalable cloud infrastructure across AWS.

Skills

Site Reliability Engineering

AWS

Terraform

Containerization (Kubernetes)

Observability tooling

Education

Bachelor's degree in Computer Science or related field

Tools

Prometheus

Grafana

Datadog

Job description

About David AI

David AI is the first audio data research company. We bring an R&D approach to data–developing datasets with the same rigor AI labs bring to models. Our mission is to bring AI into the real world, and we believe audio is the gateway. Speech is versatile, accessible, and human—it fits naturally into everyday life. As audio AI advances and new use cases emerge, high-quality training data is the bottleneck. This is where David AI comes in.

David AI was founded in 2024 by a team of former Scale AI engineers and operators. In less than a year, we’ve brought on most FAANG companies and AI labs as customers. We recently raised a $50M Series B from Meritech, NVIDIA, Jack Altman (Alt Capital), Amplify Partners, First Round Capital and other Tier 1 investors.

Our team is sharp, humble, ambitious, and tight-knit. We’re looking for the best research, engineering, product, and operations minds to join us on our mission to push the frontier of audio AI.

About our Engineering team

At David AI, our engineers build the pipelines, platforms, and models that transform raw audio into high-signal data for leading AI labs and enterprises. We're a tight-knit team of product engineers, infrastructure specialists, and machine learning experts focused on building the world’s first audio data research company.

We move fast, own our work end-to-end, and ship to production daily. Our team designs real-time pipelines handling terabytes of speech data and deploys cutting-edge generative audio models.

About this role

As a Software Engineer, Security at David AI, you will shape and build the foundation for reliability, observability, and scalability across David AI's infrastructure. Working closely with our engineering and product teams, you’ll help ensure our systems are resilient, efficient, and designed to scale as the company grows.

In this role, you will

• Own David AI’s observability stack, including monitoring, alerting, logging, and tracing, to provide engineers with clear visibility into system health, reliability, and performance.

• Partner closely with product and platform engineering teams to design systems that are scalable, resilient, and reliable from day one, not as an afterthought.

• Design and implement secure, scalable cloud infrastructure across AWS using Terraform and modern DevOps tooling to support rapid product and research iteration.

• Lead improvements across deployment pipelines, CI/CD systems, and incident response processes to reduce downtime, improve operational efficiency, and strengthen engineering velocity.

• Define and evolve the foundation of SRE practices at David AI, influencing reliability culture, tooling standards, operational excellence, and best practices across the engineering organization.

Your background looks like

• 3+ years of experience in Site Reliability, Infrastructure, or Platform Engineering supporting large-scale SaaS or cloud systems.

• Hands‑on experience applying Security best practices in production systems and cloud infrastructure.

• Strong experience building and running reliable, highly available, and scalable systems.

• Hands‑on experience with AWS, Terraform, containers (like Kubernetes), and cloud networking basics.

• Experience implementing and maintaining observability tooling across monitoring, logging, alerting, and tracing (e.g., Prometheus, Grafana, Datadog, or similar).

• Comfortable working in fast‑paced teams and collaborating closely with product, ML, and engineering teams.

• Bachelor’s degree in Computer Science or related field, or equivalent practical experience.

Bonus points if you have

• Past experience in an early‑stage startup environment, especially defining SRE culture and tooling from scratch.

• Familiarity with incident management automation or self‑healing infrastructure patterns.

Some technologies we work with

Next.js, TypeScript, TailwindCSS, Node.js, tRPC, PostgreSQL, AWS, Temporal, WebRTC, FFmpeg.

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.