Amazon.com Services LLC
Technology
SoftwareDevelopmentEngineer(ElasticKubernetesService),EKSScalability&Performance
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Software Development Engineer (Elastic Kubernetes Service), EKS Scalability & Performance at Amazon.com Services LLC. Skills: Kubernetes, Distributed systems, Autoscaling. Build Vertical Auto-Scaling Service. Operate Vertical Auto-Scaling Service”
What You'll Achieve.
Customer outcomes measured; EKS uptime commitments enforced; Degradation detected before customers notice
Industry & Context.
Root cause analysis
What They're Looking For.
Must Have
3+ years professional software development, 2+ years system design or architecture, 1+ years software development engineer experience, 1+ years designing distributed software applications, 1+ years Object Oriented Design experience, Bachelor's degree or foreign equivalent
Nice to Have
3+ years full software development life cycle experience, Bachelor's degree in computer science
What You'll Do.
Build Vertical Auto-Scaling Service
Operate Vertical Auto-Scaling Service
Build next-generation successor
Operate next-generation successor
Work on SLA measurement pipeline
Investigate breaching clusters
Build automation to detect degradation
Build automation to mitigate degradation
Contribute to control plane architecture
Define API server scaling
Define component scaling
Engage with upstream Kubernetes community
Drive KEPs for performance
Drive KEPs for resiliency
Work on workload identity systems
Work on Cluster Access Management
Work on EC2 capacity management
Work on grey failure detection
Work on Large-Scale Event response
Work on weight shifting
How You'll Work.
Team & Collaboration
Upstream community engagement
Full Job Description
We are looking for a Software Development Engineer to join the EKS KCP Scalability team and work on some of the hardest distributed systems problems at Amazon. You will design, build, and operate systems that directly determine whether EKS customers — from startups to the largest AI/ML workloads on the planet — experience a reliable, performant control plane. This is not a role where you implement features in isolation. You will work across the full stack: from the Kubernetes API server process and upstream community engagement, through autoscaling services that right-size control planes in real time, to the SLA measurement pipelines that hold us accountable to our customers. You will own systems end-to-end — from design through production operations — and your work will be measured by customer outcomes, not lines of code. Key job responsibilities You will build and operate the Vertical Auto-Scaling Service (VAS) and its next-generation successor (VAS 2.0), which dynamically right-sizes EKS control planes by evaluating CPU/memory utilization, etcd throttle rates, node-count thresholds, and network utilization simultaneously. You will work on the SLA measurement pipeline (MinutelySLA → DailySLA → MonthlySLA) that enforces EKS's uptime commitments, investigating breaching clusters weekly and building automation to detect and mitigate degradation before customers notice. You will contribute to the control plane architecture for EKS Ultraclusters, defining how the API server, etcd, and associated components scale to support 100,000-node clusters running generative AI workloads. You will maintain and extend version release qualification scale tests that gate every new Kubernetes version before it reaches customers. You will engage with the upstream Kubernetes community — driving KEPs that work backwards from EKS customer requirements around performance, scale, and resiliency. Depending on your interests and the team's priorities, you may also work on workload identity sy
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