Staff Software Engineer, Site Reliability Engineer
Posted by employer 11 months ago
First seen on Joblaze 6 months ago
Last verified on the company career page 5 hours ago
Skills & Technologies
Requirements
- Experience
- 10+ years
Not disclosed in this posting: visa sponsorship.
Benefits
Joblaze summary
In the role of Staff Software Engineer on the Site Reliability team at Harvey, the individual will focus on ensuring the reliability and performance of the company's legal AI platform through infrastructure management and automation. Key skills include expertise in infrastructure as code, observability tools, and cloud platforms, alongside strong programming abilities. This position is ideal for seasoned professionals with over a decade of experience in Site Reliability Engineering who are adept at mentoring and problem-solving. Harvey's dynamic environment emphasizes collaboration and innovation, making it a fitting place for those eager to tackle complex challenges.
Joblaze insights
- Listed about 6 months ago — first seen on Joblaze April 14, 2026. Last confirmed on Harvey AI's careers page November 1, 2026.
- Salary band is above the typical range for DevOps/SRE roles (median ~$165,000).
- Starts above 89% of 36 comparable staff devops/sre roles in United States that list Kubernetes we track (median $199,875 across 24 companies). See Kubernetes salary trends
- Kubernetes appears in 64.4% of 73 comparable staff devops/sre roles in United States; Sentry appears in 4.1% of 73 comparable staff devops/sre roles in United States.
Quick facts
- Is the Staff Software Engineer, Site Reliability Engineer role remote?
- No — this is an on-site role in San Francisco.
- What's the salary range?
- Harvey AI lists $238,000–$290,000 for this role.
- How much experience is required?
- At least 10 years of relevant experience for this Staff Software Engineer, Site Reliability Engineer role.
- Where is the role based?
- Harvey AI is hiring for this position in San Francisco.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: AWS, Azure, CloudFormation, Datadog, GCP, Go.
- What seniority level is this role?
- Harvey AI targets staff-level candidates for this position.
- Is this full-time or contract?
- Full-time for this Staff Software Engineer, Site Reliability Engineer role at Harvey AI.
From the original posting
Role Overview
As a Staff Software Engineer on the Site Reliability team at Harvey, you will ensure the reliability, scalability, and performance of our legal AI platform. You’ll join a high-leverage team that sits at the intersection of infrastructure and product, owning the systems that keep our platform fast, secure, and always on. From scaling across 50+ regions to automating mission-critical operations, your work will ensure that Harvey remains resilient as we grow. If you’re passionate about building robust systems and reducing complexity through automation, we’d love to work with you.
This role is based in San Francisco, CA. We use an in-person work model and offer relocation assistance to new employees.
What You’ll Do
Design, implement, and manage monitoring, alerting, and infrastructure resources (compute, storage, networking) across 50+ global regions
Lead incident management processes, including postmortems, root cause analyses, and driving actionable improvements
Automate operational tasks and workflows, building tools and processes for capacity planning, graceful rollouts, and safe data access to maintain high reliability and reduce manual intervention
Establish best practices for security, compliance, and reliability and collaborate across teams to drive these principles throughout the software lifecycle
Optimize infrastructure costs through strategic capacity planning and build-versus-buy decisions while maintaining system performance, reliability, and functionality
Provide technical mentorship and leadership, promoting best practices and fostering team growth
What You Have
10+ years of experience in Site Reliability Engineering or similar roles supporting production environments, with proven ability to mentor and guide technical teams
Expertise in infrastructure as code(IaC) tools (Pulumi, Terraform, CloudFormation, etc.)
Deep familiarity with observability tools (Datadog, Sentry, etc.) and incident response practices (PagerDuty, IncidentIO, etc.)
Proficiency with cloud infrastructure platforms (Azure, GCP, AWS, etc.)
Strong programming skills (Python, Bash, Go, or similar languages)
Proven track record of diagnosing complex system problems and implementing durable solutions
Solid understanding of CI/CD, Kubernetes, containerization, networking, databases, and cloud security principles
Excellent problem-solving skills, meticulous attention to detail, and a commitment to operational excellence
Compensation Range
$238,000 - $290,000 USD
#LI-AN2
Standard company text repeated across Harvey AI's postings is omitted here.