Why Harvey

At Harvey were transforming how legal and professional services operate. By combining frontier agentic AI an enterprise-grade platform and deep domain expertise were reshaping how critical knowledge work gets done for decades to come.

This is a rare chance to help build a generational company at a true inflection point. With 1500 customers in 60 countries strong product-market fit and world-class investor support were scaling fast and defining a new category in real time. The work is ambitious the bar is high and the opportunity for growth personal professional and financial is unmatched.

Our team moves fast takes ownership and is deeply committed to the mission operating with intensity staying close to our customers and pushing each other for excellence. We live by three values: Decisiveness Simplicity and Jobs Not Finished. We act quickly on clear judgment over perfect information we believe simplicity is what scales and were never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive wed love to build with you.

At Harvey the future of professional services is being written today and were just getting started.

EMPLOYER: HARVEY AI CORPORATION

TITLE: Software Engineer

Location: 201 3rd Street Floor 6 San Francisco CA 94103; Must be in the office 3 days per week and 2 days at home.

Salary Range: 40 hours/week; 230000 - $270000/year

Job Description: 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 and participate in incident management conducting postmortems root cause analyses and implementing long-term improvements. Evaluate infrastructure decisions and capacity planning strategies to improve reliability scalability and performance. Collaborate across teams to drive reliability security and compliance throughout the software lifecycle. Must be in the office 3 days per week and 2 days at home.

Requirements: Bachelors degree or foreign degree equivalent in Computer Science or related field and four (4) years of experience in Software Engineering related role or job offered.

Experience and/or education must include:

Two (2) years of experience with each of the following skills is required:

1. Designing and operating complex large-scale distributed systems in production including service discovery load balancing high availability and disaster recovery across multi-region or multi-availability-zone deployments.

2. Implementing Infrastructure as Code (IaC) using tools such as Terraform or Pulumi including authoring reusable modules performing code reviews and executing change management with drift detection and automated policy checks.

3. Administering Kubernetes in production including cluster provisioning and upgrades workload orchestration and autoscaling Helm-based packaging and network policy configuration.

4. Building internal automation and platform tooling using script programming languages such as Python Bash or Rush including developing command-line tools or services that interact with cloud and Kubernetes APIs and implementing automated tests.

5. Configuring and operating observability stacks including metrics logs and distributed tracing (e.g. Datadog OpenTelemetry Sentry) defining SLIs/SLOs and creating actionable alerts integrated with incident response tooling (e.g. PagerDuty or ).

6. Designing and maintaining CI/CD pipelines (e.g. GitHub Actions or BuildKite) including build test and deployment automation artifact management and progressive delivery strategies (blue/green or canary).

7. Engineering cloud infrastructure on at least one major cloud platform (AWS GCP or Azure) including compute networking (VPC/VNet design routing load balancing and peering) identity and access management and object/block storage.

8. Managing operational data stores and caches (e.g. PostgreSQL or MySQL; Redis; and a document or key-value store such as MongoDB or DynamoDB) including replication/backup configuration schema or data modeling and performance tuning.

9. Implementing network and platform security controls including secrets management (e.g. CKMS EKMS CMEK) OS hardening and patching least-privilege IAM policy design and vulnerability remediation workflows with CI/CD gates.

Depending on your location an Applicant Privacy Notice may apply to you. You can find all of our Applicant Privacy Notices here.

Harvey is an equal opportunity employer and does not discriminate on the basis of race gender sexual orientation gender identity/expression national origin disability age genetic information veteran status marital status pregnancy or related condition or any other basis protected by law.

We are committed to providing reasonable accommodations to applicants with disabilities and requests can be made by emailing

Required Experience:

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