Manager III, Software Development, AWS SageMaker HyperPod Infra
Posted Updated
Description
Are you a technical leader who thrives on building high-performing teams and delivering software systems that solve real customer problems? We are looking for a Software Development Manager to lead a team through the full software lifecycle - from design and architecture through deployment and long-term maintenance. In this role, you will own the strategic direction of your team's software products, define roadmaps that align with organizational goals, and create an environment where engineers grow and do their best work. You will tackle ambiguous problems, make critical resourcing decisions, and partner across teams to deliver impactful results at scale.
Key job responsibilities
- Lead and grow a software development team, owning the team's charter, vision, and 1–2 year roadmap while ensuring alignment with broader organizational goals.
- Define system architecture and product direction by partnering with engineers, stakeholders, and cross-functional teams to prioritize projects that maximize customer value.
- Coach and develop engineers through collaborative development planning, actionable feedback, and strategic project assignments that build future leaders on your team.
- Drive operational excellence by establishing metrics, audit mechanisms, and engineering best practices that ensure high-quality, maintainable software and strong customer experiences.
- Navigate ambiguity by working backwards from customer needs, writing strategic documents, and making resourcing tradeoffs that balance tactical delivery against long-term goals.
A day in the life
You start your morning reviewing operational metrics and system health dashboards, then join a design review where you challenge assumptions and help your engineers refine their approach. After syncing with a peer manager on a cross-team dependency, you spend time in a one-on-one coaching conversation with a direct report on their career growth. Later, you draft a roadmap update that captures new priorities surfaced during planning discussions.
About the team
SageMaker Capacity Intelligence makes sure customers get the accelerated compute they need, when they need it, and use all of it. We're part of SageMaker Compute Intelligence, the shared layer under SageMaker AI, including SageMaker HyperPod. We own how GPU and accelerator capacity is reserved, observed, governed and moved between workloads for model providers and customers at Amazon scale. That covers capacity observability, fungibility across reservation types, unified capacity management and admin experiences, and the API infrastructure behind them. We value collaboration, technical rigor and an inclusive environment where everyone can contribute meaningfully, and we're simplifying our architecture, investing in automation and building capacity solutions that will shape SageMaker's compute platform for years to come. If you're excited to lead a team through hard distributed-systems and resource-optimization problems while growing the next generation of technical leaders, we'd love to hear from you.
Key job responsibilities
- Lead and grow a software development team, owning the team's charter, vision, and 1–2 year roadmap while ensuring alignment with broader organizational goals.
- Define system architecture and product direction by partnering with engineers, stakeholders, and cross-functional teams to prioritize projects that maximize customer value.
- Coach and develop engineers through collaborative development planning, actionable feedback, and strategic project assignments that build future leaders on your team.
- Drive operational excellence by establishing metrics, audit mechanisms, and engineering best practices that ensure high-quality, maintainable software and strong customer experiences.
- Navigate ambiguity by working backwards from customer needs, writing strategic documents, and making resourcing tradeoffs that balance tactical delivery against long-term goals.
A day in the life
You start your morning reviewing operational metrics and system health dashboards, then join a design review where you challenge assumptions and help your engineers refine their approach. After syncing with a peer manager on a cross-team dependency, you spend time in a one-on-one coaching conversation with a direct report on their career growth. Later, you draft a roadmap update that captures new priorities surfaced during planning discussions.
About the team
SageMaker Capacity Intelligence makes sure customers get the accelerated compute they need, when they need it, and use all of it. We're part of SageMaker Compute Intelligence, the shared layer under SageMaker AI, including SageMaker HyperPod. We own how GPU and accelerator capacity is reserved, observed, governed and moved between workloads for model providers and customers at Amazon scale. That covers capacity observability, fungibility across reservation types, unified capacity management and admin experiences, and the API infrastructure behind them. We value collaboration, technical rigor and an inclusive environment where everyone can contribute meaningfully, and we're simplifying our architecture, investing in automation and building capacity solutions that will shape SageMaker's compute platform for years to come. If you're excited to lead a team through hard distributed-systems and resource-optimization problems while growing the next generation of technical leaders, we'd love to hear from you.
Skills
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