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# System Development Engineer

- **Company:** Experis
- **Location:** Seattle, WA, United States
- **Experience:** Expert
- **Salary:** $145,600.0 - $156,000.0
- **Contract:** Permanent contract
- **Skills:** Cloud Computing, Program Optimization, Load Testing, Reliability Engineering, Strategies of Testing, Performance Testing
- **Published:** August 15, 2026
- **Apply:** https://www.experis.com/en/job/407846/system-development-engineer

## About the Role

Our client, a leading organization in cloud infrastructure and technology, is seeking a System Development Engineer to join their team. As a System Development Engineer, you will be part of the Infrastructure Optimization Department supporting the Cloud Operations Team. The ideal candidate will demonstrate strong analytical skills, proactive problem-solving, and excellent communication abilities, which will align successfully in the organization., * Bachelor's degree in computer science, engineering, or a related technical field.

 * 5-7+ years of hands-on experience managing and optimizing EKS/Kubernetes clusters in large-scale production environments.
 * Deep expertise in Kubernetes resource management, autoscaling, and memory-aware scheduling.
 * Experience with memory profiling tools such as Prometheus, Grafana, kubectl top, and cAdvisor.
 * Proficiency in resource right-sizing, container runtime memory overhead, and Linux cgroup memory management.

## Description

* Manage end-to-end operations of Amazon's EKS clusters, including provisioning, configuration, and ongoing maintenance.
 * Perform deep memory profiling of containerized workloads to identify and eliminate memory waste across Kubernetes infrastructure.
 * Implement and validate memory optimization strategies such as resource right-sizing, autoscaler tuning, and scheduling policies.
 * Analyze distributed systems to understand memory allocation, overhead, and consumption, identifying opportunities for efficiency improvements.
 * Collaborate with engineering teams to review architectures, propose optimization plans, and communicate findings effectively to technical stakeholders.


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