Staff Software Engineer, Site Reliability Engineer (SRE) at Harvey

San Francisco, California, United States

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$250,000 – $290,000Compensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

AI, Legal TechIndustries

Requirements

10+ years of experience in Site Reliability Engineering or similar roles supporting production environments, with proven ability to mentor and guide technical teams
Expertise in infrastructure as code (IaC) tools (Pulumi, Terraform, CloudFormation, etc.)
Deep familiarity with observability tools (Datadog, Sentry, etc.) and incident response practices (PagerDuty, IncidentIO, etc.)
Proficiency with cloud infrastructure platforms (Azure, GCP, AWS, etc.)
Strong programming skills (Python, Bash, Go, or similar languages)
Proven track record of diagnosing complex system problems and implementing durable solutions
Solid understanding of CI/CD, Kubernetes, containerization, networking, and cloud security principles
Excellent problem-solving skills, meticulous attention to detail, and a commitment to operational excellence

Responsibilities

Design, implement, and manage monitoring, alerting, and infrastructure resources (compute, storage, networking) across 50+ global regions
Lead incident management processes, including postmortems, root cause analyses, and driving actionable improvements
Automate operational tasks and workflows, building tools and processes for capacity planning, graceful rollouts, and safe data access to maintain high reliability and reduce manual intervention
Establish best practices for security, compliance, and reliability and collaborate across teams to drive these principles throughout the software lifecycle
Optimize infrastructure costs through strategic capacity planning and build-versus-buy decisions while maintaining system performance, reliability, and functionality
Provide technical mentorship and leadership, promoting best practices and fostering team growth

Skills

SRE

Monitoring

Alerting

Infrastructure

Compute

Storage

Network

Automation

Scalability

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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