Why Harvey

At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re 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, we’re 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 Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you.

At Harvey, the future of professional services is being written today — and we’re 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; 230,000 - $270,000/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: Bachelor’s 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 Incident.io).

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 accommodations@harvey.ai