> Markdown version of [/jobs/ext/3968750-lead-software-engineer](https://www.wearedevelopers.com/jobs/ext/3968750-lead-software-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Lead Software Engineer - **Company:** Relativity - **Location:** Elk Grove Village, IL, United States (Remote available) - **Experience:** Expert - **Salary:** $150,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Microsoft Azure, Cloud Computing, Cyber Security, Continuous Integration, Data Infrastructure, Cursor, Programming Tools, Distributed Systems, Cloud Services, Software Engineering, GitHub Copilot, Claude Code, Backend, Data Layers, Kubernetes, Front End Software Development - **Published:** October 27, 2026 - **Apply:** https://www.careerbuilder.com/job-details/lead-software-engineer-elk-grove-village-il--0fbd33ea-3114-4247-ab9b-d81b10dbb20c ## About the Role Software Engineering, Relativity, Litigation, Regulations, Cloud Computing, Artificial Intelligence (AI), Computer Security, Legal, Pro Bono, Government, 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., Documentations, Innovation, Leadership, Problem Solving, Process Improvements, Project Management, Quality Assurance (QA), Risk Management, Technical Knowledge, Troubleshooting ## Description * 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.