Teams at KLDiscovery

Provides cross-functional architectural guidance across product areas, identifies technical risks and debt, makes design decisions, and translates architecture into executable engineering work. The role establishes coding and testing standards, mentors engineers, supports production applications, and owns build and release pipelines. The engineer also contributes to requirements, code reviews, security practices, automated testing, technical debt reduction, and reliable delivery across multiple codebases.

Manage eDiscovery projects from scoping through production, including client requirements, workflows, schedules, budgets, data tracking, and quality assurance. Advise clients on litigation-support best practices, coordinate collections, review, technology, and operations teams, and provide status updates and issue escalation. The role requires managing multiple projects, supporting antitrust and regulatory matters, maintaining client satisfaction, presenting solutions, and providing operational guidance. Evening, weekend, and on-call availability may be required.

Lead delivery for the Nebula SaaS platform: run planning, sprint execution, release management, and reliability at scale. Drive cloud platform and architecture modernization, move AI features from prototype to production, hire and develop engineering leaders, and own budget, headcount, and cross-functional partnerships.