Software Development Manager, Cloudwatch Logs

Amazon CloudWatch Logs is one of the largest log management platforms in the world, ingesting petabytes of log data daily from millions of customers across every AWS region. From startups debugging their first Lambda function to enterprises running mission-critical workloads, CloudWatch Logs is the foundation customers rely on to ingest, store, search, and analyze their operational data. When our systems work well, customers gain instant visibility into the health and behavior of their applications without thinking about the infrastructure underneath. We are looking for a Software Development Manager to lead a team at the core of CloudWatch Logs. You will own the technical strategy and roadmap for your team's charter, drive architectural decisions that improve scalability, durability, and performance, and deliver features that make it easier for customers to get value from their log data. You will partner with teams across CloudWatch, AWS Observability, and the broader AWS organization to align on priorities and deliver solutions that meet the needs of customers at every scale. This is a role where people leadership and technical depth are equally important. You will hire and develop engineers, raise the bar on design rigor and operational excellence, and build a culture of ownership and inclusion. You will hold your team accountable for the availability and correctness of systems that customers and the business depend on, and you will drive improvements that compound over time. Key job responsibilities * Lead and grow a high-performing engineering team that owns critical systems within CloudWatch Logs . * Define the team roadmap and drive a multi-year technical strategy that improves scale, reliability, and customer experience. * Drive architectural decisions with senior and principal engineers, evaluating tradeoffs across performance, cost, durability, and operational complexity. * Partner with product management, partner service teams, and customers to translate requirements into delivery plans that balance innovation with operational risk. * Own operational excellence for the team's systems, including deployment safety, metrics, on-call health, and availability targets for a service operating at massive scale. * Build mechanisms that scale team operations while maintaining end-to-end ownership — including operational reviews, design reviews, and engineering best practices. * Recruit, mentor, and develop engineers. Build a culture of ownership, inclusion, and technical depth.