Staff Software Engineer, Core Infrastructure at Harvey

San Francisco, California, United States

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$250,000 – $290,000Compensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Legal Tech, Artificial Intelligence, Professional ServicesIndustries

Requirements

10+ years of experience in Infrastructure Engineering, Site Reliability Engineering, or similar roles in a production environment
Long track record building and scaling complex, large-scale distributed systems
Strong fluency in Infrastructure as Code (IaC) tools (Pulumi, Terraform, CloudFormation, etc.)
Deep proficiency with cloud infrastructure platforms (Azure, GCP, AWS, etc.)
Strong programming skills (Python, Bash, Go, or similar languages)
Experience with observability tools (Datadog, Sentry, etc.) and incident response practices (PagerDuty, IncidentIO, etc.)
Solid understanding of Kubernetes, networking, databases, OS, cloud storage, cloud security, CI/CD, etc
Excellent problem-solving skills, a "spidey sense" of where things could go wrong, and a commitment to operational excellence

Responsibilities

Design, develop, and deploy new infrastructure services and automation tools to support platform growth and new product initiatives
Manage and optimize existing infrastructure components (compute, storage, networking) across 50+ global regions
Lead incident management processes, including postmortems, root cause analyses, and driving actionable improvements
Implement short-term and long-term infrastructure scaling strategies to improve reliability, scalability, and performance
Collaborate across teams to drive reliability, security, and compliance throughout the software lifecycle
Provide technical mentorship and leadership, promoting best practices and fostering team growth

Skills

Infrastructure Design

System Scalability

Reliability Engineering

Security

Automation Tools

Deployment

Distributed Systems

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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