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    Software Engineer, Infrastructure - San Francisco, United States - Harvey

    Harvey
    Harvey San Francisco, United States

    1 week ago

    Default job background
    Description
    Why Harvey


    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.


    Performance:
    $0-15M ARR in the last 12 months.

    Value:
    Top of market cash and equity compensation.

    About the Role


    As a Software Engineer on the Infrastructure team at Harvey, you will build and maintain the infrastructure for serving our legal AI platform at scale.

    We are looking for software engineers with past infrastructure experience building large-scale distributed systems who are excited to build the foundational infrastructure for a fast growing startup.

    This role is based in San Francisco, CA. We use an in-person work model and offer relocation assistance to new employees.
    Responsibilities


    Build and deploy a globally-redundant distributed system with 100+ machines (using Kubernetes and 20+ other tools/services) with an emphasis on reliability.

    Design and build sharding schemes for isolated regions.

    Design and implement frameworks for automated Postgres migrations and safer database access patterns.

    Improve engineering standards, tooling, and processes.

    Help debug production issues across services and multiple layers of the stack.

    Work with Kubernetes, Postgres, and Python.

    Qualifications

    5+ years of experience building and scaling distributed systems.

    A deep understanding of how infrastructure-layer (Kubernetes, Database, OS, Cloud Storage etc) software systems work.

    Strong attention to detail and spidey sense for where and when things could go wrong.

    Track record of shipping high quality products.

    Strong programming skills and general Computer Science knowledge.

    Compensation

    The expected range of compensation for this role is between $190,000 and $265,000. 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.

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