Software Engineering Manager, AWS EKS

About the role

Amazon's Elastic Kubernetes Service (EKS) is looking for a Software Engineering Manager for one of our infrastructure team that manages EKS compute products including EKS Auto and EKS worker node AMI. We have an ambitious road-map that seeks to redefine how our customers build their applications and run them at scale on AWS and Kubernetes.

Amazon EKS allows our customers to use Kubernetes at scale without the undifferentiated heavy lifting required to manage Kubernetes. Our mission is to accelerate the adoption of AWS by providing the best possible experience for customers using Kubernetes. We are growing fast and we are expanding our team to help build additional features for our customers. This is a great time to join a growing team and help influence what we can do for customers who are adopting Kubernetes as a cornerstone in their AWS strategy.

As a leader of the EKS compute and runtime team you will be responsible for building and owning core services responsible for EKS products including EKS Auto and EKS Hybrid. The teams charter is to manage Kubernetes worker nodes and related software components that help monitor and repair nodes. It is a critical team that helps manage AI/ML workload infrastructure.

Your team will build solutions to ensure the safety and stability of software the team operates, integrate with other AWS services with an eye towards simple and streamlined interfaces. You will own staffing and managing the engineering team, product development, setting the team culture, best practices, and organizational planning. The successful candidate will be able to deal with ambiguity and will need to think big.

In addition to our core compute and runtime charter, this team is at the forefront of running AI/ML and inference workloads on Kubernetes.

We ship EKS-optimized AMIs with dual NVIDIA driver support so the newest GPU instance families are ready out of the box without separate per-driver AMIs or slower boot times; we're building a hardware-isolated pod runtime that gives each pod strong isolation on shared nodes to unlock secure multi-tenant and emerging agentic AI use cases; we're accelerating fast model loading to cut cold-start and scale-up latency for large models on GPUs; and we continuously advance GPU and node health monitoring in the EKS Node Monitoring Agent, classifying GPU and fabric faults and detecting failing hardware, so large inference fleets stay healthy and nodes aren't needlessly replaced.

It's an exciting opportunity to shape how AWS customers run the next generation of AI/ML workloads at massive scale.

The ideal candidate will be passionate about the potential of cloud computing, and about building simple and elegant software solutions and customer-centric products. This leader has thrived and succeeded in delivering high quality technology products/services in a hyper-growth environment where priorities shift quickly.

The candidate is a leader who can prioritize well, communicate clearly and compellingly and who understands how to drive a high level of focus and excellence with a strong team. AWS in general, and this business in particular, operates at very large scale and on critical workloads, so a passion and discipline around operational excellence is key. A high level of ownership and accountability is a must.

Our organization principles: Mentorship & Career Growth

Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we're building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded individual and enable them to take on complex tasks in the future.

Basic Qualifications

• 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 communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy
• Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers to improve their skills, and make them more effective, product software engineers

Additional information

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

Pay and benefits

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.

USA, WA, Seattle - 184,900.00 - 250,200.00 USD annually