Lead Software Engineer

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.