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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # EKS/Kubernetes Engineer - **Company:** Manpower - **Location:** Jersey City, NJ, United States - **Contract:** Permanent contract - **Skills:** Amazon Web Services, Big Data, Information Engineering, Distributed Systems, Fault Tolerance, Open Source Technology, Performance Tuning, Data Logging, Data Processing, System Availability, Apache Spark, Software Troubleshooting, Containerization, Kubernetes, Storage Technologies, Performance Monitor, Cloud Optimization - **Published:** July 18, 2026 - **Apply:** https://dejobs.org/x/x/ED37AEAD7FE543419D9DF53FEB1A3B61/job/ ## About the Role * Extensive hands-on experience designing, deploying, and supporting Kubernetes platforms in enterprise production environments. * Deep expertise with Amazon EKS and cloud-native technologies. * Strong experience with Kubernetes cluster autoscaling solutions, including Karpenter . * Proven experience supporting large-scale Apache Spark workloads and distributed systems. * Strong troubleshooting and performance tuning skills across Kubernetes, AWS infrastructure, networking, and storage. * Experience working within highly secure, restricted-access, or air-gapped environments. * Strong understanding of Kubernetes resource management, scheduling, observability, and production operations. Preferred Qualifications * Kubernetes certifications such as CKA, CKAD, or CKS . * AWS certifications. * Experience contributing to open-source Kubernetes, Karpenter, or Apache Spark projects. * Knowledge of FinOps methodologies and cloud cost optimization at scale. * Background supporting data engineering, analytics, or large-scale data platform environments. ## Description We are seeking a highly skilled EKS/Kubernetes Engineer to configure, deploy, and operate mission-critical Amazon EKS infrastructure supporting petabyte-scale data processing workloads. This role requires deep expertise in Kubernetes internals, large-scale cluster operations, and Apache Spark optimization to support thousands of concurrent jobs processing massive volumes of data., * Design, deploy, and maintain production-grade Amazon EKS clusters optimized for petabyte-scale data processing, ensuring high availability, resiliency, and fault tolerance. * Manage and operate Kubernetes environments within secure, air-gapped private VPCs, including administration of private container registries and package repositories. * Troubleshoot and resolve complex distributed systems issues across EKS, Karpenter, and Apache Spark, including scheduling bottlenecks, node provisioning delays, and large-scale workload failures. * Implement and optimize Karpenter consolidation and disruption policies to balance infrastructure efficiency, cost management, and workload stability. * Develop and manage Spot and On-Demand instance strategies, including robust interruption handling and workload recovery mechanisms. * Define and enforce ResourceQuotas, LimitRanges, and PriorityClasses to ensure efficient resource allocation and prevent resource contention. * Configure and manage persistent storage solutions using Amazon EBS CSI Driver and Amazon EFS CSI Driver to support high-performance data processing workloads. * Optimize storage architecture for throughput, scalability, durability, and application resiliency. * Design and implement proactive monitoring, logging, alerting, and anomaly detection solutions to identify and remediate system issues before they impact production operations. * Architect fault-tolerant solutions utilizing checkpointing, retry mechanisms, and graceful degradation strategies to minimize downtime and recomputation. * Develop, maintain, and manage Kubernetes configurations and operational processes within highly secured, internet-restricted environments. ## Related Videos - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Understanding Kubernetes in a visual way](https://www.wearedevelopers.com/videos/100085-understanding-kubernetes-in-a-visual-way) - [How I saved 200K/yr in direct costs writing 0 code lines in K8s](https://www.wearedevelopers.com/videos/1055-how-i-saved-200k-yr-in-direct-costs-writing-0-code-lines-in-k8s) - [Let's Get Aggregated: Custom UDAFs in Spark ](https://www.wearedevelopers.com/videos/1649-let-s-get-aggregated-custom-udafs-in-spark) - [Why and when should we consider Stream Processing frameworks in our solutions](https://www.wearedevelopers.com/videos/1085-why-and-when-should-we-consider-stream-processing-frameworks-in-our-solutions) ## Related Articles - [Learning Kubernetes made easy with KubeCampus](https://www.wearedevelopers.com/magazine/348-learning-kubernetes-made-easy-with-kubecampus) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Is Software Engineering Over-Saturated?](https://www.wearedevelopers.com/magazine/418-is-software-engineering-over-saturated) - [7 Most Popular Web Developer Jobs in Europe](https://www.wearedevelopers.com/magazine/163-7-most-popular-web-developer-jobs-in-europe) - [Where To Find Software Engineering Jobs](https://www.wearedevelopers.com/magazine/396-where-to-find-software-engineering-jobs) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers)