Staff+ Security Engineer, Risk Engineering

Anthropic
San Francisco, New York, Seattle
Workplace: OnsiteFull timeUSD 405,000 - 405,000 annuallyFunction: CybersecurityExperience: 8+ yearsEducation: bachelorsSkills: ["Python","Go","Rust","C/C++","Cloud security"]

Lead and remediation of Anthropic’s most complex security risks by designing AI-native risk tooling, quantifying risk, and driving end-to-end risk treatment. You will work across identity, secrets, infrastructure security, and secure frameworks, collaborating with Security Engineering to translate findings into prioritized remediation while mentoring engineers and advancing a risk engineering culture.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
Anthropic
Anthropic
2 months ago

Staff+ Security Engineer, Risk Engineering

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 6 hours agoStatus: Live

Job Summary

Lead and remediation of Anthropic’s most complex security risks by designing AI-native risk tooling, quantifying risk, and driving end-to-end risk treatment. You will work across identity, secrets, infrastructure security, and secure frameworks, collaborating with Security Engineering to translate findings into prioritized remediation while mentoring engineers and advancing a risk engineering culture.
Location: San Francisco, New York, Seattle
Workplace: Onsite
Employment Type: Full time
Job Function: Cybersecurity

Key Responsibilities

  • •Take ownership of Anthropic’s most complex security risk problems and drive them end to end with minimal oversight, turning ambiguous signals into a defensible view of severity and likelihood and seeing them through escalation, treatment decisions, and remediation
  • •Build the systems that make risk measurable and let risk work scale, including quantification tooling, automated intake and triage, and the observability that partner teams use to understand their own risk posture
  • •Work alongside Security Engineering as a calibrated technical peer who pressure tests architectures and treatment plans, translates findings into prioritized remediation roadmaps, and makes the investment case for what to fix now, what to accept and track, and what to defer
  • •Mentor engineers and risk practitioners across Security and the broader engineering organization, and help build a risk engineering culture in which teams own their risks and our team provides the visibility and judgment that supports the
  • •Security risk engineering across threat areas like identity and secrets management, developer security and supply chain, infrastructure security, and secure frameworks, and build the context needed to reason about risk credibly in each
  • •Identify systematic risks through threat modeling and structured assessment, drive severity calibration and escalation conversations, and contribute to quantitative risk work (e.g., calibrated estimation, Monte Carlo) where they meaningfully affect decisions
  • •Design and build AI-native risk tooling that uses Claude to classify incoming risks, augment triage, and sense changes in the risk landscape as teams ship
  • •Create dashboards and data pipelines that give engineering and product teams real-time visibility into risk posture and enable distributed ownership of risk
  • •Partner with Security Engineering and risk owners to design remediation roadmaps explicitly detailing sequencing, ownership, and required investment
  • •Measure outcomes rather than activity, focusing on decisions and risk reduction

Pay and Benefits

Salary: USD 405,000 annually

Key Requirements

  • •At least 8 years of software engineering or security engineering experience, including leading and remediating complex security risks independently
  • •Bachelor’s degree in a related field or equivalent experience
  • •Strong programming skills in Python or at least one systems language such as Go, Rust, or C/C++
  • •Broad knowledge across core security engineering domains, with depth in at least one (e.g., identity and secrets management, developer security and supply chain, infrastructure and cloud security, secure frameworks)
  • •Calibrated risk judgment, capable of assigning defensible severity and likelihood to ambiguous problems and adjusting with new evidence
Experience:8+ yearsSecuritySoftware engineeringRisk engineering
Education:Bachelor's
Skills:PythonGoRustC/C++Cloud security
Languages:English
Tech Stack:PythonGoRustC/C++CloudAWSKubernetesDocker

Company Brief

Anthropic
Develops large-scale AI systems and safety research to create reliable, steerable, and interpretable AI assistants and models for commercial and research applications.
Industry: AI & Machine Learning
Company Size: Enterprise (1,001+ employees)
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series C
Headquarters: San Francisco, United States
Founded: 2021
WebsiteLinkedIn