Staff+ Software Engineer, Distributed Systems

Anthropic
New York, San Francisco
Workplace: OnsiteFull timeUSD 320,000 - 485,000 annuallyFunction: Software EngineeringEducation: bachelorsSkills: ["Communication","Explain complex technical concepts"]

Build safety and oversight mechanisms for AI systems on the Safeguards team. Develop monitoring to detect unwanted behaviors from API partners and enforce terms through automated actions and internal dashboards. Deploy monitoring reliably across multiple clouds, design and harden a sandboxed runtime for agent execution, and manage cost/capacity and service-level objectives for long-running workloads. Partner with engineers, researchers, and security/privacy/legal to ship new detections fast.

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FursaFursa
Anthropic
Anthropic
14 hours ago

Staff+ Software Engineer, Distributed Systems

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 7 hours agoStatus: Live

Job Summary

Build safety and oversight mechanisms for AI systems on the Safeguards team. Develop monitoring to detect unwanted behaviors from API partners and enforce terms through automated actions and internal dashboards. Deploy monitoring reliably across multiple clouds, design and harden a sandboxed runtime for agent execution, and manage cost/capacity and service-level objectives for long-running workloads. Partner with engineers, researchers, and security/privacy/legal to ship new detections fast.
Location: New York, San Francisco
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering

Key Responsibilities

  • •Develop monitoring systems to detect unwanted behaviors from API partners and enable automated enforcement actions, with results surfaced in internal dashboards for manual review
  • •Deploy monitoring systems across multiple clouds, including inside partner environments, keeping deployments consistent via shared pipelines, smoke tests, observability, and alerting
  • •Design and harden the sandboxed runtime where AI agents execute, including isolation, network egress controls, least-privilege data access, audit logging, and insider-risk controls
  • •Manage cost and capacity for large volumes of long-running agent work and define/meet service-level objectives for the platform
  • •Partner with engineers, researchers, and security/privacy/legal teams to ship new detection capabilities quickly on a trusted platform

Pay and Benefits

Salary: USD 320,000 - 485,000 annually
Perks:EquityParental LeavePaid Leave

Key Requirements

  • •Bachelor’s degree in Computer Science, Software Engineering or comparable experience
  • •Proficiency in Python, distributed systems, and infrastructure as code
  • •Experience across multiple cloud providers, or infrastructure designed to be provider-agnostic
  • •Experience building and operating large-scale, distributed infrastructure (e.g., data platforms, control planes, job schedulers)
  • •Experience with sandboxing/isolation (containers, microVMs, network policy) or a systems language such as Rust
Experience:Distributed systemsCloud infrastructureInfrastructure as codeLLM-based agentsAbuse detection
Education:Bachelor's in Computer Science, Software Engineering
Skills:CommunicationExplain complex technical concepts
Languages:English
Tech Stack:PythonDistributed SystemsInfrastructure as CodeContainersMicroVMsNetwork policyRustObservabilityAlertingSmoke testsDashboardsAudit loggingLeast-privilege

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