LaunchDarkly - Engineering Manager, Cloud Engineering
Requirements
• 2+ years of experience managing an infrastructure, platform engineering, or site reliability engineering team at a product company, including people management of an on-call team. • Demonstrated ownership of incident response, on-call health, and service-level objective frameworks for critical production systems. • Experience leading at least one multi-quarter infrastructure migration or insourcing program from planning through completion. • Technical fluency with AWS, Kubernetes, and infrastructure-as-code practices, with the judgment to guide discussions and tradeoffs with senior engineers. • Experience taking over an established team and maintaining engagement, performance, and retention through a leadership transition. • A clear point of view on team norms and practices for AI-assisted engineering. • Strong written and verbal communication skills, with the ability to explain technical and operational priorities to a range of audiences. • A thoughtful, calm, and accountable leadership approach, particularly during incidents and periods of change. • Experience with vendor negotiations or cloud cost management. • Experience supporting FedRAMP or other compliance-related infrastructure and operations. • Experience operating large-scale datastores or OLAP systems. • Experience growing a team through funded expansion. • Target pay ranges based on Geographic Zones* for Level M2: • Zone 1: San Francisco/Bay Area or NYC Metropolitan Area, Boston, Seattle - $191,800 - $263,670** • Zone 2: Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Austin, Portland, Philadelphia, Chicago - $172,600 - $237,270** • Zone 3: All other US locations - $163,000 - $224,070** • All Zones Inclusive of a 10% Bonus Target • LaunchDarkly operates from a place of high trust and transparency; we are happy to state the pay range for our open roles to best align with your needs. Exact compensation may vary based on skills, experience, and location. • Within the United States, our geographic pay zones are defined by counties surrounding major metropolitan areas.**Restricted Stock Units (RSUs), health, vision, and dental insurance, and mental health benefits in addition to salary. • Modern software delivery was supposed to be the foundation for a thriving digital business but reality has proven otherwise. Slow, inefficient development cycles, costly outages, and fragmented customer experiences are preventing developers from building their best software. The LaunchDarkly platform helps developers innovate on new features faster while protecting them with a safety valve to instantly rewind when things go wrong. Developers can target product experiences to any customer segment and maximize the business impact of every feature. And by gradually rolling out new application components, they escape nightmare "big-bang" technology migrations. • The LaunchDarkly platform was built to guide engineers to the next frontier of DevOps by: • Improving the velocity and stability of software releases, without the fear of end customer outages • Delivering targeted experiences by easily personalizing features to customer cohorts • Maximizing the business impact of every feature through the ability to experiment and optimize • Coordinating the release and optimization of software to provide consistent experiences across mobile platforms and device types • Improving the effectiveness and productivity of engineering teams, by providing insights into engineering cadence and stability
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. • Partner with Service Frameworks, Core Platform, Revenue Platform, Data Platform, and product engineering teams on shared infrastructure priorities and cross-team dependencies. • Communicate roadmaps, operational risks, investment needs, and progress clearly to engineering leadership and cross-functional stakeholders. • Participate in hiring and team planning as the organization grows.
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