The Amazon Agentic WorkSpaces organization is seeking a Software Development Manager to lead the team Watchtower. The Watchtower team owns three pillars. 1) Monitoring is the always-on operational backbone of the WorkSpaces fleet, delivering near-real-time health visibility for every WorkSpace instance. 2) Proxy establishes secure communication between control plane services and the agents running on every WorkSpace instance. 3) Fleet AI Platforms which powers AI-driven qualification and image release, the WorkSpaces Knowledge Base, and the AI Companion. Our aim is to detect every WorkSpace health change in near real time, reach every on-instance agent securely, run every recurring operational workflow autonomously through AI agents at fleet scale, and give every engineer and administrator an AI teammate that knows their domain as well as they do.
In Monitoring, you will own health reporting, AutoStop hibernation detection, on-instance event publishing, and diagnostic log collection, and be accountable for the metrics that define fleet health: one-minute health freshness, log pull coverage, and impaired WorkSpace counts. You will evolve the platform toward invariant and drift detection, near-real-time log push, and a governed event hub, and cut impairment noise by detecting customer-initiated maintenance.
In Proxy, you will hold every proxy and credential path to least-privilege access, short-lived credentials, and network isolation, expand coverage into new partitions, and lead Unification to extend agent proxy coverage to WorkSpaces Applications while retiring legacy paths.
In Fleet AI Platforms, you will build the Knowledge Base as a federated, human-verified organizational brain and the AI Companion as an ambient agent that learns from its users and eventually works for them. You will take these from internal tooling to customer-facing capabilities and pilot AI agents for large-scale event handling.
You will lead a 2-pizza team organized as self-driven pods, where each pod builds on the Knowledge Base, every engineer directs an AI Companion, and engineers define, direct, and deliver rather than execute step by step. You will lead on the loop, not in the flow: you set direction and decision boundaries, and you rely on AI-generated digests instead of status meetings. You will raise the engineering bar on design rigor, code quality, testing, and safe deployment. You will measure the model on velocity, knowledge accuracy, and engineer satisfaction, and help scale it across the organization. You will write design documents, tenets, and PR/FAQs. Above all, you will hire, grow, and retain engineers who scale with the business.
BASIC QUALIFICATIONS
- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field
- 3+ years of engineering team management experience
- 7+ years of working directly within engineering teams experience
- 3+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience
- 8+ years of leading the definition and development of multi tier web services experience
- Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations
- Experience partnering with product or program management teams
PREFERRED QUALIFICATIONS
- Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers to improve their skills, and make them more effective, product software engineers
- Experience in a customer-facing role, engaging with customer executives, technologists or partners to solve business problems with advanced technologies
- Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, WA, Seattle - 184,900.00 - 250,200.00 USD annually
