Staff Software Engineer, Frontier Security Team

Snowflake
Menlo Park
Workplace: OnsiteFull timeUSD 236,000 - 295,000 annuallyFunction: Software EngineeringExperience: 9+ yearsEducation: bachelorsSkills: ["Technical leadership","Communication","Mentoring","Architecture reviews","Debugging"]

Lead the design and development of an Agentic Harness and agent evaluation platform for Snowflake’s Frontier Security AI team. Build production-grade infrastructure for multi-step AI workflows, including tool execution interfaces, stable state/context management, and end-to-end quality evaluation with datasets, graders, experiment pipelines, and release gates. Improve reliability, safety, and efficiency through replay/simulation, production incident feedback loops, observability, and offline/online measurement.

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Snowflake
Snowflake
18 hours ago

Staff Software Engineer, Frontier Security Team

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Source: Company careers pageValidated by: Fursa AI
Last checked: 15 hours agoStatus: Live
Reposted: similar role first listed 2 days ago

Job Summary

Lead the design and development of an Agentic Harness and agent evaluation platform for Snowflake’s Frontier Security AI team. Build production-grade infrastructure for multi-step AI workflows, including tool execution interfaces, stable state/context management, and end-to-end quality evaluation with datasets, graders, experiment pipelines, and release gates. Improve reliability, safety, and efficiency through replay/simulation, production incident feedback loops, observability, and offline/online measurement.
Location: Menlo Park
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering

Key Responsibilities

  • •Architect and build the Agentic Harness to execute complex multi-step AI workflows across models, tools, data, and services.
  • •Design stable interfaces for tool execution, context construction, state management, memory, permissions, retries, fallbacks, and human review.
  • •Own agent quality end to end by building evaluation harnesses, representative datasets, automated graders, experiment pipelines, and release gates.
  • •Convert ambiguous failures into measurable failure modes, reproducible tests, and durable fixes, then close the loop from incidents to regression prevention.
  • •Develop offline and online measurements and build simulation/replay infrastructure to assess correctness, groundedness, safety, latency, reliability, and cost.

Pay and Benefits

Salary: USD 236,000 - 295,000 annually

Key Requirements

  • •9+ years of software engineering experience with technical leadership of complex production systems.
  • •Experience shipping and operating LLM applications, AI agents, or model-backed workflows in production.
  • •Strong background in distributed systems, service architecture, high-throughput APIs, concurrency, and failure handling.
  • •Fluency in Python and strong proficiency in at least one systems or application language (Java, Go, Rust, or TypeScript).
  • •Hands-on experience with tool calling, structured generation, retrieval, context engineering, prompt management, and model APIs.
Experience:9+ yearsLLM applicationsAI agentsDistributed systems
Education:Bachelor's in Computer Science, Engineering, or a related field
Skills:Technical leadershipCommunicationMentoringArchitecture reviewsDebugging
Tech Stack:PythonJavaGoRustTypeScriptLLMAI agentsRetrievalTool callingModel APIsStructured generationVector searchHybrid searchKubernetesSQLObservabilityMetricsLogsTracesReplay

Company Brief

Snowflake
Provides a cloud-native data platform for data warehousing, data engineering, data science, and analytics, enabling organizations to store, process, and share large-scale data across multiple cloud providers with elastic scalability and performance.
Industry: Data Infrastructure
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Bozeman, United States
Founded: 2012
WebsiteLinkedIn