Engineering Manager, Cloud Engineering

About this role

About the Job: We’re looking for an Engineering Manager to lead LaunchDarkly’s Cloud Engineering team, the team responsible for the foundational infrastructure our products and engineering teams depend on. Cloud Engineering owns LaunchDarkly’s AWS accounts and networking, multi-region Kubernetes infrastructure, Terraform and GitOps workflows, CockroachDB operations, disaster-recovery capabilities, and FedRAMP infrastructure posture.

The team is small, senior, and recently rebuilt. This is a frontline leadership role for a manager who treats operational health as a top priority, leads calmly through incidents, and creates leverage through software, automation, and reliable paved paths. In your first year, you’ll lead a marquee infrastructure insourcing program from planning through completion. The program’s cost savings will help fund additional team growth, giving you the opportunity to deliver meaningful business impact while strengthening the infrastructure behind LaunchDarkly’s next stage of scale.

This role combines people leadership, operational ownership, and technical judgment. You do not need to be the most senior individual contributor in the room, but you should be comfortable partnering with experienced engineers, guiding tradeoffs, and creating an environment where the team can do its best work. Responsibilities: Lead and develop a senior Cloud Engineering team, providing clear expectations, coaching, feedback, performance management, and career-development support.

Own the operational health of LaunchDarkly’s cloud infrastructure, including incident response, on-call health, service-level objectives, resilience, and disaster recovery. Launch and deliver a multi-quarter infrastructure insourcing program, including sequencing work, managing dependencies, communicating milestones, and ensuring a successful transition. Guide technical priorities and tradeoffs across AWS infrastructure, networking, multi-region Kubernetes, infrastructure as code, GitOps, datastore operations, and compliance-related infrastructure.

Build leverage through software, automation, and paved paths that help product engineering teams use infrastructure safely and independently. Support migrations by providing guidance, patterns, and enablement while maintaining clear ownership boundaries with partner teams. Establish team norms for effective AI-assisted engineering and identify opportunities to reduce operational toil through AI and automation. Maintain team health and continuity through change, fostering an inclusive, collaborative, and accountable environment.