
SoftPath Technologies LLC
Seattle, Washington • Today
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Full-time, Third Party
Depends on Experience
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SoftPath Technologies LLC
Seattle, Washington • Today
Easy Apply
Full-time, Third Party
Depends on Experience

You're right. For CEIPAL, it's better to keep it as a clean recruiter-facing JD without “Ideal Candidate” or a keyword section.
Location: Seattle, WA
Client: Amazon
Job Type: Contract
Experience: 5+ Years
We are seeking an experienced EKS Cluster & Memory Profiling Engineer with strong hands-on experience in Amazon EKS, Kubernetes, AWS infrastructure, memory profiling, performance analysis, and resource optimization.
The engineer will be responsible for end-to-end operations and optimization of assigned EKS services, with a focus on container and pod-level memory utilization, resource right-sizing, node-pool optimization, and production performance.
Perform end-to-end operations and optimization of Amazon EKS clusters and Kubernetes workloads.
Conduct container and pod-level memory profiling and performance analysis.
Analyze memory utilization, memory pressure, OOM events, and resource consumption.
Right-size Kubernetes CPU and memory requests and limits based on production workload behavior.
Implement and optimize Vertical Pod Autoscaler (VPA) recommendations.
Optimize EKS node pools and workload placement for improved resource utilization.
Troubleshoot Linux cgroups, container memory usage, OOMKilled events, and resource contention.
Evaluate EC2 instance-family selection and right-sizing strategies.
Identify opportunities for Graviton/ARM64 adoption and infrastructure optimization.
Deploy production changes while maintaining performance, throughput, availability, and SLA requirements.
Perform before-and-after performance analysis to validate optimization results.
Develop technical documentation including runbooks, SOPs, and design documents.
Support large-scale infrastructure optimization and cost-reduction initiatives.
5+ years of hands-on production engineering experience in at least one of the following ecosystems: Rust, EKS, JDK/JVM, EMR/Spark SQL, or EMR/Spark infrastructure.
Strong experience with Amazon EKS and Kubernetes in production environments.
Experience with memory profiling, performance analysis, and resource optimization in large-scale distributed systems.
Experience with Kubernetes resource requests, limits, workload optimization, and capacity management.
Strong understanding of Linux memory management, containers, and cgroups.
Proven experience deploying production changes without degradation to performance, throughput, or availability SLAs.
Experience creating technical documentation for engineering audiences, including runbooks, SOPs, and design documentation.
Experience with Amazon internal tooling and deployment mechanisms such as MCM, CDK, CargoBrazil, and Smithy.
Familiarity with Graviton/ARM64 architectures and instance-family right-sizing strategies.
Experience with AI coding agents or automated workflow tooling.
Experience with fleet-scale optimization programs or large-scale infrastructure cost reduction initiatives.
Cross-archetype experience, such as JVM engineering combined with EKS or EMR experience.
👾 Reticulating splines...
Seattle, Washington
•
Today
Job Summary Looking for an experienced EKS/Kubernetes Engineer to optimize memory usage and reduce DRAM waste across large-scale AWS environments. The role will focus on EKS cluster management, Kubernetes resource optimization, memory profiling, and production validation. Must-Have Skills Hands-on AWS EKS/Kubernetes experience Strong experience managing EKS clusters, node groups, and autoscaling Hands-on Kubernetes resource right-sizing and memory optimization Experience with VPA, HPA, Cluste
Easy Apply
Third Party, Contract
Depends on Experience
Bellevue, Washington
•
5d ago
Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you're ready to be at the epicenter of this historic cultural and financial shift, keep reading. About the team + role We are building an elite team, applying frontier technologies to the world's biggest financial problems. We're looking for bold thinkers
Full-time
USD 196,000.00 - 230,000.00 per year
Bellevue, Washington
•
Today
Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you're ready to be at the epicenter of this historic cultural and financial shift, keep reading. About the team + role We are building an elite team, applying frontier technologies to the world's biggest financial problems. We're looking for bold think
Full-time
USD 196,000.00 - 230,000.00 per year
Seattle, Washington
•
Today
Amazon s RFM team is seeking an engineer to optimize DRAM usage across EMR on EC2 clusters through cluster tuning, Spark/YARN optimization, and EC2 instance right-sizing. The role involves analyzing utilization, identifying over-provisioned resources, running optimization experiments, and delivering measurable memory/cost savings without impacting performance or SLAs.Key ResponsibilitiesAnalyze EMR, Spark, YARN, and CloudWatch metrics to identify memory waste, underutilized executors, and ineffi
Easy Apply
Contract
Depends on Experience