10 months ago
Base Salary
$200k - $260k/yr
Responsibilities
- Design, implement, and manage monitoring, alerting, and compute, storage, and networking infrastructure across more than 50 global regions.
- Lead incident management processes, including postmortems, root cause analyses, and actionable reliability improvements.
- Automate operational tasks and workflows for capacity planning, graceful rollouts, and safe data access.
- Collaborate across teams to improve reliability, security, and compliance throughout the software lifecycle.
- Optimize infrastructure costs through capacity planning and build-versus-buy decisions while maintaining performance, reliability, and functionality.
Requirements
- 5+ years of experience in Site Reliability Engineering or similar roles supporting production environments.
- Expertise with infrastructure-as-code tools such as Pulumi, Terraform, and CloudFormation.
- Deep familiarity with observability tools such as Datadog and Sentry and incident response tools such as PagerDuty and IncidentIO.
- Proficiency with cloud infrastructure platforms including Azure, GCP, and AWS.
- Strong programming skills in Python, Bash, Go, or similar languages.
- Experience diagnosing complex system problems and implementing durable solutions.
- Understanding of CI/CD, Kubernetes, containerization, networking, databases, and cloud security principles.
- Strong problem-solving skills, meticulous attention to detail, and commitment to operational excellence.
Benefits
- In-person work model in San Francisco, California.
- Relocation assistance is offered to new employees.
Tech Stack
Categories
DevOpsSite Reliability
About Harvey
Harvey builds domain-specific generative AI for legal and other professional services, delivered as an enterprise platform and APIs to automate contract analysis, due diligence, compliance, and litigation workflows. Founded in 2022 and headquartered in San Francisco, it sells to law firms and corporate legal departments on enterprise agreements; investors include Sequoia Capital and OpenAI. Customers include multiple Am Law 100 firms and Fortune 500 companies’ legal teams.