Staff Software Engineer, Safeguards ML Infra Platform Safety

Doist; San Francisco (CA); Hybrid; USD 320,000 - 485,000; Full time

Job summary

Doist is seeking an experienced SRE/Platform Engineer to design, build, and operate the Safeguards ML Infra backend that powers Claude safety systems. You will own production services across 1P, AWS Bedrock, and GCP Vertex, defining SLOs, observability, and incident response for critical production paths.

You will work closely with ML researchers to productionize safety techniques, implement automated validation, and build self‑serve tooling to reduce toil, while acting as a real‑world user of

Qualifications

• Proficient in Python; experience with Rust is a plus.
• Designed, built, and operated high‑QPS systems at global scale.
• Strong foundation in distributed systems: replication, consistency, failure modes, and SLO management.
• Meaningful on‑call experience for production systems, including incident response and post‑mortem improvements.
• Hands‑on experience deploying and operating on cloud platforms (AWS, GCP) at scale.

Responsibilities

• Design, build, and deploy backend services that are critical safety pieces on the token sampling and generation path.
• Own and operate the production serving infrastructure for those services across multiple deployment platforms (1P, AWS Bedrock, GCP Vertex).
• Define and maintain SLOs, build observability and alerting systems, and lead incident response for infrastructure on the critical path of every Claude request.
• Participate in on‑call and operational‑duty rotations covering service incidents, model provisioning, and time‑sensitive research and safety launches.
• Reduce on‑call and on‑duty toil by building automation, tooling, and self‑serve workflows that minimize manual operations.
• Be the first user of the systems you build, running them for real workloads yourself before other teams depend on them.
• Build and maintain a safety registry with full provenance – tracking what is running in production, on which model, and when and by whom it was deployed.
• Implement automated post‑deploy validation to ensure correctness is consistent across platforms.
• Work closely with ML researchers to productionize new safety techniques, translating experimental work into reliable, scalable production systems.
• Contribute to the long‑term goal of platform‑agnostic deployment tooling that brings 3P platforms to parity with 1P operational maturity.

Skills

Python

Rust (optional)

Distributed systems

On-call experience

Cloud platforms

Tools

AWS

GCP

Job description

Doist is seeking an experienced SRE/Platform Engineer to design, build, and operate the Safeguards ML Infra backend that powers Claude safety systems. You will own production services across 1P, AWS Bedrock, and GCP Vertex, defining SLOs, observability, and incident response for critical production paths.

You will work closely with ML researchers to productionize safety techniques, implement automated validation, and build self‑serve tooling to reduce toil, while acting as a real‑world user of