Infrastructure Engineer

Key Skills

Aartificial intelligence, Azure, Docker, Infrastructure as code, Kubernetes-K8s, Terraform

Job Description

Harvey is a secure AI platform for professionals in law, tax, and finance that augments productivity and automates complex workflows. Harvey uses algorithms with reasoning-adept LLMs that have been customized by our expert team of lawyers, engineers and research scientists. We’ve found product market fit and are scaling our team very quickly. Some reasons to join Harvey are:

• Exceptional product market fit: We have partnered with the largest law firms and professional service providers in the world like A&O, PwC, and many others.

• Strategic investors: Raised over $100 million from strategic investors including Sequoia, Kleiner Perkins, and the OpenAI Startup Fund.

• World-class team: Harvey is hiring the best technical and non-technical talent from DeepMind, Google Brain, Stripe, FAIR, Tesla Autopilot, Superhuman, Glean, etc.

• Partnerships: Our engineers and researchers work directly with OpenAI to build the future of generative AI and redefine professional services.

• Value: Top of market cash and equity compensation.

Role

As an Infrastructure Engineer, you'll play a key role in designing, building, and maintaining the infrastructure that supports the Harvey AI platform. Our customers handle the most sensitive data in the world and it's critical we maintain trust by having resilient and secure infrastructure.

Your responsibilities will include:

• Working closely with our product, research and security teams to deploy a stable platform on our primarily Azure infrastructure

• Implement robust, scalable infrastructure strategies for what works best for customers including cloud-hosted, cloud-prem, single tenant, etc.

• Establish internal incident management, on-call and deployment processes as the company rapidly scales up

• Develop and maintain automation scripts, tools, and processes to streamline system deployment

• Collaborate with the team to troubleshoot, debug, and fix issues

Qualifications

Evidence of exceptional backend engineering ability.

• Demonstrated experience shipping very difficult backend and infrastructure solutions, ideally at scale

• Generalists preferred over siloed specialists

• Experience with generative AI or legal is not required

Experience:

• Bachelor’s degree in Computer Science, a related field, or equivalent practical experience

• 5+ years experience building backend and infrastructure systems

• Practical experience with containerization technologies, including Docker and Kubernetes

• Familiarity with infrastructure as code tools like Terraform is essential

• Solid understanding of networking, security principles, and best practices

• Senior or Staff level

Bonus:

• Experience with Azure and on-prem deployments

• Experience on world-class AI products (search, recommendation, ads), complex B2B backend-intensive products (payments), or difficult backend engineering at scale

• Early engineer at a hyper-growth startup

Compensation

The expected range of compensation for this role is between $190,000 and $260,000. Additionally, this role is eligible to participate in our equity plan. The successful candidate’s starting salary will be determined based on non-discriminatory factors such as skills, experience, and geographic location.