Harvey
Staff Software Engineer, Secure Execution
San Francisco · Staff+
Sponsorship not specified$231k-$346kDetected 16 days ago
PythonGoRustC++Distributed SystemsCloud PlatformsLinuxAgentic AICybersecurityPenetration TestingResearchLeadershipCommunication
Stay score
odds of building a lasting career here
59Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70
Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
Personalize to your clock →H-1B wage level
the lottery is wage-weighted — each level is one more entry
Level I$137,0931 entry
Level II$165,1312 entries
Level III$193,1493 entries
Level IV$221,1874 entries
This range already reaches Level IV — the maximum four lottery entries.
DOL prevailing wage, 2026-27 wage year · Software Developers (15-1252) · San Francisco-Oakland-Fremont, CA. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.
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About the role
- Your impact will come from shipping systems, establishing a shared technical direction, and making security capabilities reusable across teams.
Responsibilities
- Design, build, and operate a platform for security agents to discover and validate vulnerabilities within authorized targets and execution boundaries, producing reproducible evidence that engineers can act on.
- Build reusable controls for agent tool use, code execution, network and filesystem access, resource consumption, and workload lifecycle. Integrate with identity and secrets platforms to limit access to the data and credentials each task needs.
- Partner with the owners of Harvey's product sandbox and internal agent platform to make architectural decisions, implement protections, and integrate shared security capabilities into their execution environments.
- Enable internal use of open-source models alongside infrastructure teams, building protections around model serving, agent execution, and sensitive-data handling.
- Develop adversarial tests, evaluations, and telemetry that verify containment and expose failures. Build mechanisms to scope, observe, interrupt, and safely terminate agent activity.
- Lead delivery and adoption across teams, mentor engineers, and remain hands-on through implementation and production operation, making clear tradeoffs across security, reliability, latency, and cost.
- 10+ years developing and running production software, including technical leadership on initiatives spanning multiple engineering teams.
- Experience building shared platforms, services, or libraries and helping other teams adopt them through clear interfaces, documentation, and safe migrations.
- Fluency with AI-assisted engineering and agentic workflows: you use models to accelerate development, validate their output, and reason about the risks introduced when agents use tools, execute code, or access sensitive data.
Requirements
- Experience with cloud infrastructure and distributed systems, including observability, failure handling, capacity management, and dependable production operation.
- Deep expertise in one or more areas of execution security, such as sandboxing, operating-system isolation, container or virtual-machine security, or platforms that execute untrusted code.
- You can translate threats into enforceable boundaries and test how those boundaries fail.
Nice to have
- Experience with microVMs, hypervisors, or sandbox runtimes such as Firecracker, gVisor, or Kata Containers, or Linux isolation mechanisms such as namespaces, seccomp, and Landlock.
- Experience with vulnerability research, penetration testing, or adversarial evaluation of agent systems, including turning findings into reproducible tests and effective controls.
- Experience deploying or securing self-hosted inference and open-source models, including isolation of model-serving workloads and protection of sensitive inputs and outputs.
- YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922].
Compensation
- $231,000 - $346,400 USD
Company info
- WHY HARVEY At Harvey, we're transforming how legal and professional services operate.
- Our team moves fast, takes ownership, and is deeply committed to the mission - operating with intensity, staying close to our customers, and pushing each other for excellence.
- We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are.
This listing is sourced directly from Harvey's careers page and normalized into a canonical job model.