Software Engineer, Site Reliability Engineer (SRE) Join to apply for the Software Engineer, Site Reliability Engineer (SRE) role at Harvey Software Engineer, Site Reliability Engineer (SRE) Join to apply for the Software Engineer, Site Reliability Engineer (SRE) role at Harvey Get AI-powered advice on this job and more exclusive features. Why Harvey Harvey Is a Secure AI Platform For Legal And Professional Services That Augments Productivity And Automates Complex Workflows. Harvey Uses Algorithms With Reasoning-adept LLMs That Have Been Customized And Developed 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, including Paul Weiss, A&O Shearman, Ashurst, O'Melveny & Myers, PwC, KKR, and many others. Strategic investors: Raised over $500 million from strategic investors including Sequoia, Google Ventures, Kleiner Perkins, and OpenAI. World-class team: Harvey is hiring the best talent from DeepMind, Google Brain, Stripe, FAIR, Tesla Autopilot, Glean, Superhuman, Figma, and more. Partnerships: Our engineers and researchers work directly with OpenAI to build the future of generative AI and redefine professional services. Performance: 4x ARR in 2024. Competitive compensation. Why Harvey Harvey Is a Secure AI Platform For Legal And Professional Services That Augments Productivity And Automates Complex Workflows. Harvey Uses Algorithms With Reasoning-adept LLMs That Have Been Customized And Developed 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, including Paul Weiss, A&O Shearman, Ashurst, O'Melveny & Myers, PwC, KKR, and many others. Strategic investors: Raised over $500 million from strategic investors including Sequoia, Google Ventures, Kleiner Perkins, and OpenAI. World-class team: Harvey is hiring the best talent from DeepMind, Google Brain, Stripe, FAIR, Tesla Autopilot, Glean, Superhuman, Figma, and more. Partnerships: Our engineers and researchers work directly with OpenAI to build the future of generative AI and redefine professional services. Performance: 4x ARR in 2024. Competitive compensation. Role Overview As a 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 Collaborate across teams to drive reliability, security, and compliance throughout the software lifecycle Optimize infrastructure costs through strategic capacity planning and build-versus-buy decisions while maintaining system performance, reliability, and functionality. What You Have 3+ years of experience in Site Reliability Engineering or similar roles supporting production environments 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, and cloud security principles Excellent problem-solving skills, meticulous attention to detail, and a commitment to operational excellence Compensation Range
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