1 month ago
Base Salary
$215k - $240k/yr
Responsibilities
- Own the architecture and technical direction of agentic investigations, including signal flow, investigation state, agent tools, verdicts, timelines, scope, and evidence.
- Build and operate LLM-powered agents that investigate security signals, gather evidence, make determinations, and hand cases to human analysts when appropriate.
- Develop LLM-powered preprocessing that summarizes, correlates, and highlights important information from analyst tools and data sources.
- Design for untrusted input, tenant isolation, trust boundaries, auditability, reliability, latency, cost, and safe automated actions.
- Define evaluation methods, labeled datasets, offline evaluations, regression gates, and quality measurements for nondeterministic systems.
- Prototype uncertain technical approaches, make architectural decisions, communicate tradeoffs, and align SOC, product, engineering, and executive stakeholders.
- Mentor engineers through code review, pairing, shared patterns, tooling, and technical leadership while partnering with the engineering manager on team health.
Requirements
- 15+ years of experience developing complex software products, including significant experience serving as the technical lead for production systems.
- Hands-on experience designing, shipping, and operating production LLM-based agents, including tool use, context management, structured output, guardrails, and evaluation.
- Experience building evaluations for nondeterministic systems, including labeled datasets, offline evaluations, regression gates, and quality measurement over time.
- Experience handling untrusted input, enforcing multi-tenant isolation, producing audit trails, and building systems that make automated decisions with real consequences.
- Deep backend expertise in distributed systems, queues, durable workflows, concurrency, throughput, and correctness under load.
- Strong skills in one or more backend languages and willingness to become fluent in Ruby on Rails.
- Experience with AWS, Azure, or other public cloud environments and data stores such as Postgres and Redis.
- Experience using AI coding tools such as Claude Code.
- BS or MS in Computer Science or Engineering, or equivalent experience.
- Bonus qualifications include SOC, incident response, threat hunting, detection engineering, endpoint or identity telemetry, attacker tradecraft, and adversarial testing of ML or LLM systems.
Benefits
- 100% remote work in the US.
- Generous paid time off, including vacation, sick time, and paid holidays.
- 12 weeks of paid parental leave.
- Medical, dental, and vision benefits.
- 401(k) with a 5% contribution regardless of employee contribution.
- Life and disability insurance.
- Stock options for all full-time employees.
- One-time $500 home-office reimbursement.
- Annual education and professional-development assistance.
- $75 USD per month digital reimbursement.
- Access to BetterUp for coaching and personal and professional growth.
Tech Stack
Categories
About Huntress
Huntress builds a managed security platform for mid-market businesses and the MSPs that support them, offering endpoint protection, identity defense, SIEM, and security awareness training backed by a 24/7 human-led SOC. Founded in 2015 by former NSA cyber operators and headquartered in Columbia, Maryland, the company is privately held. Its platform secures more than 5 million endpoints and 14 million identities worldwide.