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.
10+ years of engineering experience
5+ years of engineering team management experience
10+ years of planning, designing, developing and delivering consumer software experience
Experience partnering with product or program management teams
Experience managing multiple concurrent programs, projects and development teams in an Agile environment
Experience partnering with product and program management teams
Experience designing and developing large scale, high-traffic applications
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
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, CA, Santa Clara - 253,100.00 - 342,300.00 USD annually
