What You’ll Do 

• Lead the design, development, and operation of distributed, scalable, secure full-stack cloud services that process petabytes of data weekly, contributing directly to implementation and guiding your team’s execution. 

• Provide clear technical direction across frontend, backend, and data layers, collaborating with team, staff, and principal engineers on system design. 

• Collaborate daily with a diverse group of teammates and product partners to solve problems, achieve shared goals, and build AI-powered legal data solutions that operate at massive scale. 

• Mentor engineers and lead through technical expertise, collaboration, and sound engineering judgment. 

• Establish and evolve engineering standards through design and code reviews, patterns, best practices, and coaching. 

• Align team execution with product strategy and delivery commitments, identifying and removing technical friction. 

• Lead service ownership across the team by driving reliability efforts, on-call practices, incident response, resolution, and root cause analysis. 

• Own delivery of platform capabilities across cluster lifecycle, workload scheduling, and infrastructure automation, applying and enforcing cloud-native architecture standards for the services your team owns. 

• Partner with consuming engineering teams to onboard their workloads onto the platform, translating their reliability and scale requirements into platform capabilities rather than one-off exceptions. 

• Drive platform efficiency and capacity outcomes for your team’s surface area, balancing reliability targets against compute cost. 

What We’re Looking For 

Required 

• 7+ years of experience designing, building and operating cloud-native systems. 

• Proven ability to set technical direction and lead teams effectively. 

• Hands-on experience designing and building distributed, multi-tenant systems. 

• Ownership of CI/CD, observability, and service reliability. 

• Strong product and systems thinking, balancing delivery speed with long-term sustainability. 

• Excellent communication, collaboration, and technical leadership skills. 

• Hands-on experience running Kubernetes in production, including cluster lifecycle, workload scheduling, and infrastructure as code. 

• Strong understanding of distributed systems, cloud networking, and security in a multi-tenant environment. 

Preferred 

• Experience guiding UI, architecture or data platform design. 

• Prior people-lead or technical-lead experience. 

• Experience in regulated or large-scale environments. 

• Familiarity with AI-development tools like GitHub Copilot, Cursor or Claude Code. 

• Experience working in global or highly distributed organizations. 

• Depth in Azure and AKS. 

• Experience operating a multi-cluster fleet across regions or cloud boundaries, such as commercial and government environments. 

• Experience with infrastructure as code and automation tooling. 

Why We Could Be A Great Fit 

• Impactful Mission: Organize Data, Discover the Truth and Act on It. Our customers include Fortune 500 enterprises and leading law firms managing high-stakes matters on our platform. 

• Growth Path: Engineers gain exposure across the stack, from distributed systems to AI-enabled workflows, accelerating career growth. 

• Engineering Culture: Continuous delivery, strong observability, and end-to-end ownership. 

• Inclusive Environment: Diverse backgrounds and perspectives make us stronger. 

• Community Impact: Volunteer opportunities and company-sponsored charitable programs. 

• Compensation & Benefits: Competitive salary, health and retirement programs, wellness resources, discretionary time off (DTO), parental leave for primary and secondary caregivers, two annual company breaks, home office stipend, and an equity program.