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Senior Manager, Software Development, AWS SageMaker HyperPod Infra

Amazon.com Inc

  • Santa Clara, CA
  • 3 days ago

    Highlights

    HyperPod is the only AWS service unifying training and inference across Slurm, Kubernetes, and Ray - delivering fault-tolerant infrastructure with sub-2-minute recovery, automated GPU health monitoring, and sophisticated capacity management across thousands of GPU nodes globally. Amazon is looking for a Senior Manager, Software Development to lead multiple software development teams, define multi-year technical strategies, and deliver meaningful outcomes for our customers.

    Numbers & Facts

    LocationSanta Clara, CA
    IndustryRetail
    Company Size10,000 employees or more
    Year Founded1994
    Websitehttp://Amazon.com/militaryroles

    Description

    Are you a technical leader who thrives on building high-performing engineering teams and shaping the future of software products used by millions? Amazon is looking for a Senior Manager, Software Development to lead multiple software development teams, define multi-year technical strategies, and deliver meaningful outcomes for our customers. In this role, you will own a strategically important software architecture and drive the vision for how multiple systems work together to solve complex customer problems. You will partner with product management, engineering leaders, and cross-functional stakeholders to set priorities, remove ambiguity, and ensure your teams are building the right things at the right time. If you are passionate about growing leaders, tackling large-scale technical challenges, and creating an inclusive engineering culture, we want to hear from you.

    Key job responsibilities

    • Define and own a multi-year technical strategy for your area, aligning product roadmaps and engineering investments to deliver measurable customer value across multiple software teams.
    • Lead, mentor, and grow a team of software development managers and senior engineers, building an inclusive culture where people develop their careers and deliver their best work.
    • Partner with product management and cross-functional stakeholders to translate ambiguous business problems into clear engineering plans, making thoughtful trade-offs between opportunity, resources, and long-term sustainability.
    • Establish mechanisms to audit customer experience, operational health, and software quality across your teams, driving continuous improvement in system design, performance, security, and reliability.
    • Collaborate across organizational boundaries to influence technical direction, resolve prioritization conflicts, and ensure your architecture evolves to meet future business needs at scale.

    A day in the life

    You start your morning reviewing operational metrics and identifying areas that need attention across your teams. Mid-morning, you join a design review with senior engineers to evaluate a proposed architecture change, asking probing questions to ensure scalability and maintainability. After lunch, you meet with peer managers and product leaders to align on quarterly priorities and resolve a resource constraint. Later, you spend time in a one-on-one coaching session with one of your managers, discussing their team"s growth plans and career development strategies.

    About the team

    The SageMaker HyperPod Infra team is building next-generation AI infrastructure for large-scale training, model customization, and inference. HyperPod is the only AWS service unifying training and inference across Slurm, Kubernetes, and Ray - delivering fault-tolerant infrastructure with sub-2-minute recovery, automated GPU health monitoring, and sophisticated capacity management across thousands of GPU nodes globally. Our team is focused on building AI infra software systems that directly impact how customers experience AI.

    Our team values builders who thrive in ambiguity, think long-term, and want to define the future of AI infrastructure. We ship fast, iterate with purpose, and support some of the most demanding AI workloads in the world. We operate in a collaborative environment where engineering leaders work closely with product and business partners to solve complex, high-impact problems. We are committed to creating an inclusive culture where every team member has the opportunity to grow, contribute ideas, and make a real difference. If you"re excited to do meaningful work at the frontier of generative AI at massive scale, we"d love to talk.

    About Company

    At Amazon, we don’t wait for the next big idea to present itself. We envision the shape of impossible things and then we boldly make them reality. So far, this mindset has helped us achieve some incredible things. Let’s build new systems, challenge the status quo, and design the world we want to live in. We believe the work you do here will be the best work of your life.

    Wherever you are in your career exploration, Amazon likely has an opportunity for you. Our research scientists and engineers shape the future of natural language understanding with Alexa. Fulfillment center associates around the globe send customer orders from our warehouses to doorsteps. Product managers set feature requirements, strategy, and marketing messages for brand new customer experiences. And as we grow, we’ll add jobs that haven’t been invented yet.

    It’s Always Day 1
    At Amazon, it’s always “Day 1.” Now, what does this mean and why does it matter? It means that our approach remains the same as it was on Amazon’s very first day – to make smart, fast decisions, stay nimble, invent, and stay focused on delighting our customers. In our 2016 shareholder letter, Amazon CEO Jeff Bezos shared his thoughts on how to keep up a Day 1 company mindset. “Staying in Day 1 requires you to experiment patiently, accept failures, plant seeds, protect saplings, and double down when you see customer delight,” he wrote. “A customer-obsessed culture best creates the conditions where all of that can happen.” You can read the full letter here

    Our Leadership Principles
    Our Leadership Principles help us keep a Day 1 mentality. They aren’t just a pretty inspirational wall hanging. Amazonians use them, every day, whether they’re discussing ideas for new projects, deciding on the best solution for a customer’s problem, or interviewing candidates. To read through our Leadership Principles from Customer Obsession to Bias for Action, visit https://www.amazon.jobs/principles

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