Product Security Engineer, Infrastructure at Harvey

San Francisco, California, United States

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$201,000 – $260,000Compensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

AI, Legal Tech, Professional ServicesIndustries

Requirements

5+ years experience in Security Engineering, Software Engineering, or Site Reliability Engineering roles
Demonstrated experience writing high-quality software and building production-grade infrastructure and raising the quality bar of engineering teams
Strong fundamentals in networking, operating systems, and cryptographic protocols
In-depth knowledge of Kubernetes, common misconfigurations, and privilege escalation vectors
Demonstrated ability to find weaknesses (e.g. privilege escalation) in real-world cloud environments
Experience applying security best practices in cloud environments (AWS, Azure, or Google Cloud)

Responsibilities

Incorporate secure design principles into our cloud architecture
Develop isolation mechanisms (e.g. sandboxing) in collaboration with our product engineering team
Review security-critical configuration changes and act as Codeowner for security-critical parts of our cloud configurations (everything is IaC)
Audit our existing cloud environment for vulnerabilities
Develop policies and procedures for the secure creation and operation of our cloud environments

Skills

Key technologies and capabilities for this role

Infrastructure SecurityProduct SecurityCloud SecurityComplianceSecure Platform Design

Questions & Answers

Common questions about this position

What is the salary range for the Product Security Engineer role?

The salary range is $201K - $260K.

Is this position remote or hybrid?

The position is hybrid.

What skills are required for this Infrastructure Security Engineer role?

The role requires expertise in secure cloud architecture design, developing isolation mechanisms, implementing least privilege and tenant isolation for multi-tenant SaaS, and an engineering-first mindset with offensive security experience.

What is the company culture like at Harvey?

The team is sharp, motivated, and committed to the mission, moving fast with intensity, taking ownership, staying close to customers, thriving in ambiguity, and pushing for excellence.

What makes a strong candidate for this security engineering role?

Strong candidates thrive in ambiguity, push for excellence, have offensive security experience like penetration testing, and approach security with a software engineering mindset while contributing code daily.

Harvey

Custom AI solutions for law firms

About Harvey

Harvey.ai builds custom Large Language Models (LLMs) specifically designed for top law firms to help them tackle complex legal challenges. These AI models are tailored to various legal practice areas and jurisdictions, allowing firms to enhance their efficiency and accuracy in legal work. Harvey.ai's technology includes an AI chatbot developed in collaboration with Allen & Overy, which demonstrates how their solutions can streamline operations and reduce manual workloads. The company operates on a business model that combines customization fees for developing these models with ongoing subscription fees for support and updates. Unlike many competitors, Harvey.ai focuses exclusively on the legal sector, ensuring that their products meet the unique needs of elite law firms. The goal of Harvey.ai is to transform the legal industry by providing advanced AI tools that improve decision-making and operational efficiency while maintaining high standards of data security.

San Francisco, CaliforniaHeadquarters

2022Year Founded

$200.4MTotal Funding

SERIES_CCompany Stage

Cybersecurity, LegalIndustries

201-500Employees

Risks

Over-reliance on partnerships could lead to strategic vulnerabilities if they dissolve.

LexLegis.ai's global expansion poses a competitive threat in legal research.

Rapid AI innovation and crowded CLM market may challenge Harvey's growth.

Differentiation

Harvey offers custom LLMs tailored for elite law firms' complex legal challenges.

The company provides a unified interface for legal workflows, enhancing efficiency.

Harvey's BigLaw Bench evaluates AI accuracy in legal tasks, setting industry standards.

Upsides

Partnership with Icertis enhances contract analysis and risk assessment capabilities.

Expansion into Japan with Mori Hamada Matsumoto opens new revenue streams.

Revamped GenAI Assistant improves user experience and output quality for legal professionals.

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