Senior Manager, Software Development, AWS SageMaker HyperPod Infra
Amazon is hiring a Senior Manager, Software Development, AWS SageMaker HyperPod Infra in Santa Clara, United States. It pays $253k-$342k a year and Level rates it ; you can apply on Amazon.
Level's read on this job
- Level rates this role Builds AI ●●●●: the job is building AI systems.
- The posting mentions SageMaker, software architecture and team leadership among its tools and skills.
- Level classes it as a lead role.
- Amazon has 20,000+ other open roles on Level.
AI in this role
Lead software development teams defining architecture and strategies for AWS SageMaker HyperPod infrastructure.
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.
Basic qualifications
- 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
Preferred qualifications
- 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
How we rate this
Senior Manager, Software Development, AWS SageMaker HyperPod Infra at Amazon rates 85 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where software architecture was part of your work. What did you do?
- Tell me about a project where team leadership was part of your work. What did you do?
- Tell me about a project where technical strategy was part of your work. What did you do?
- Tell me about a project where engineering management was part of your work. What did you do?
- Walk me through how you've used SageMaker in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Software Architecture, Team Leadership, Technical Strategy, Engineering Management, and SageMaker. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.
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