Staff+ Software Engineer, Safeguards Data
Anthropic · New York City, NY · Safeguards (Trust & Safety) · listed August 14, 2026
The shape of it
Seniority
Staff
Experience asked
8+ years
Where
Hybrid
Stated pay
$320,000 – $485,000 USD
Requirements listed
6
Length
1,115 words
In the posting’s own words
This is a systems engineering position within a small, newly established team. Rather than managing an existing backlog, you will have the autonomy to own a problem domain, establish its technical vision, and shape the team's trajectory.
What it asks for · 6
- Have strong systems fundamentals (processes, threads, RPC, storage, and how systems fail) and have built and operated large-scale, fault-tolerant distributed systems
- Have built and operated systems that handle sensitive or high-value data, with access, privacy, retention and security controls designed in from the start
- Have a track record of building platforms or internal tooling that other teams widely adopt
- Have led the technical design of projects that span several engineers or teams
- Learn quickly and adapt: you're comfortable with ambiguity, a fast pace, and systems or languages you haven't used before
- Care about the impact of your work and about making AI safe, use good judgment about what matters most, and can explain technical trade-offs to non-technical partners
Also a plus
- Proficiency in one or more systems languages (e.g., C, C++, Rust, Go)
- 8+ years of experience as a software engineer, and a Bachelor's degree in Computer Science, Software Engineering or comparable professional experience
- Experience building data infrastructure for ML: training datasets, offline batch inference or evaluation
- Experience with data governance requirements in a regulated or high-sensitivity domain
- Fluency with agentic coding tools such as Claude Code
What the job covers
- Design, build, and operate the stores, pipelines, schemas, and APIs that Safeguards' detection, evaluation, investigation, and review systems read from.
- Build privacy-safe interfaces that allow ML training, evaluation, and investigation workflows to utilize sensitive data without requiring broad access to raw records, ensuring access is tied to purpose and built-in lineage.
- Scale the distributed storage, ingestion, and processing systems operated by Safeguards, maintaining cost efficiency, reliability, and portability across deployment environments.
- Collaborate with investigators, researchers, legal, privacy, and security teams to translate operational requirements into functional mechanisms and systems for safe data utilization.
- Uphold a high operational bar by participating in the on-call rotation, leading incident reviews, and continuously reducing manual operational overhead.
- Lead through technical design by authoring foundational proposals and conducting cross-team architectural reviews.
Tools and skills named
Cloud & infra
- AWS
- Azure
- Distributed systems
- GCP
Models & research
- Inference2×
- Machine learning2×
Languages
- C++
- Go
- Rust
Security & compliance
- Security3×
Ways of working
- On-call
Words the posting leans on
- systems13×
- data9×
- access6×
- safeguards5×
- design4×
- experience4×
- review4×
- technical4×
- controls3×
- engineering3×
- evaluation3×
- offline3×
- operated3×
- operational3×
- safe3×
- security3×
Counted from the posting after the mission statement and the legal notices are set aside. The ones near the top are the ones a screener is looking for.
The posting, your resume, and the gaps between them. One click loads all three.
More open at Anthropic
- 3P Revenue Accounting & ReportingSan Francisco, CA | Seattle, WA
- Account Executive, AI NativeNew York City, NY; San Francisco, CA | New York City, NY
- Account Executive - DNBSingapore
- Account Executive, NonprofitSan Francisco, CA | New York City, NY
- Account Executive - Public Sector (ASEAN)Singapore
- Account Executive, StartupsDublin, IE