Need: Kubernetes Engineer Job ID: 26-01299
Steave Nickson
Please find the specs of the requirement below; kindly send suitable profiles to srik...@dwintechcorp.com
Job Details:
Job ID: 26-01299
Title: Kubernetes Engineer
Duration: 6 Months with possible extension
Interview process: Prescreen, Phone, Onsite panel
CLIENT: FINRA
Payrate: $55/Hr on C2C
Consultant can be from any of the below locations, and should be comfortable to go for in-person for his Final Interview after the Virtual Interview,
Rockville, MD - Gira Building, 9509 Key West Avenue, Rockville, MD 20850
Tysons, VA - Valo Park, 7950 Jones Branch Drive, Suite 301, Tysons, VA 22102
Washington, DC - 1700 K Street NW, Suite 1200, Washington, DC 20006
New York, NY - Brookfield Place, 200 Liberty Street, Suite 1200, New York, NY 10281
Jersey City, NJ - 10 Harborside Plaza, 3 Second Street, Suite 900, Jersey City, NJ 07311
Woodbridge, NJ - 581 Main Street, Suite 710, Woodbridge, NJ 07095
Jericho, NY - Two Jericho Plaza, Suite 307, Jericho, NY 11753
Philadelphia, PA - 1601 Market Street, Suite 2700, Philadelphia, PA 19103
Boston, MA - Keystone Building, 99 High Street, Suite 1200, Boston, MA 02110
Chicago, IL - 101 N. Wacker Drive, Suite 2200, Chicago, IL 60606
Dallas, TX - 12801 N. Central Expressway, Suite 1050, Dallas, TX 75243
Boca Raton, FL - Boca Center Tower 1, 5200 Town Center Circle, Suite 200, Boca Raton, FL 33486
Denver, CO - 4600 S. Syracuse Street, Suite 1400, Denver, CO 80237
Los Angeles, CA - 300 South Grand Avenue, Suite 1700, Los Angeles, CA 90071
San Francisco, CA - 100 Pine Street, Suite 1800, San Francisco, CA 94111
Job Summary:
We are seeking a Senior Kubernetes Engineer to design, build, and optimize highly scalable Kubernetes infrastructure supporting large-scale, data-intensive workloads in AWS. This is a hands-on engineering role focused on Amazon EKS, Kubernetes platform operations, and distributed computing environments where reliability, automation, and performance are critical.
The ideal candidate has deep expertise in Kubernetes internals, cluster operations, and cloud-native infrastructure, with experience supporting large-scale Apache Spark or similar distributed processing platforms. You'll work alongside platform and data engineering teams to build resilient, secure, and cost-efficient infrastructure capable of supporting thousands of concurrent workloads.
What You'll Do
Design, deploy, and maintain highly available Amazon EKS clusters supporting large-scale data processing workloads.
Build and operate secure Kubernetes environments within private AWS VPCs, including air-gapped deployments, private container registries, and internal package repositories.
Troubleshoot complex Kubernetes, Karpenter, and distributed application issues including scheduling, autoscaling, networking, and cluster performance.
Optimize node provisioning using Karpenter, balancing workload performance, resiliency, and cloud cost optimization.
Design and implement strategies for Spot and On-Demand capacity management, including graceful interruption handling and workload recovery.
Configure Kubernetes resource management using ResourceQuotas, LimitRanges, PriorityClasses, taints, tolerations, and affinity rules to maximize cluster efficiency.
Deploy and optimize persistent storage solutions using Amazon EBS CSI and Amazon EFS CSI drivers for high-performance data processing workloads.
Build observability solutions with centralized logging, monitoring, alerting, and performance dashboards to proactively identify issues before production impact.
Design resilient platform architectures utilizing checkpointing, retry mechanisms, fault isolation, and automated recovery strategies.
Partner with platform, infrastructure, and data engineering teams to improve scalability, automation, security, and operational excellence.
Required Qualifications
8+ years of infrastructure, cloud engineering, or platform engineering experience.
Deep expertise administering Kubernetes in large-scale production environments.
Strong experience designing and operating Amazon EKS clusters.
Experience with Kubernetes autoscaling technologies including Karpenter or Cluster Autoscaler.
Strong understanding of Kubernetes scheduling, networking, storage, security, and cluster lifecycle management.
Experience supporting Apache Spark or other distributed compute frameworks in Kubernetes environments.
Hands-on experience with AWS services including EC2, EBS, EFS, IAM, VPC, CloudWatch, and Auto Scaling.
Experience operating highly available, production-critical systems with a focus on performance, resiliency, and automation.
Strong scripting or programming experience using Python, Go, or Bash.
Experience implementing Infrastructure as Code using Terraform, CloudFormation, or similar technologies.
Strong troubleshooting skills across distributed systems and cloud-native infrastructure.
Preferred Qualifications
Kubernetes certifications (CKA, CKAD, or CKS).
AWS Certified Solutions Architect or AWS Certified Kubernetes-related certifications.
Experience operating air-gapped or highly secure cloud environments.
Contributions to Kubernetes, Karpenter, Spark, or other cloud-native open-source projects.
Experience implementing FinOps and cloud cost optimization strategies.
Background supporting large-scale data engineering, analytics, or AI/ML platforms.
Familiarity with GitOps tools such as ArgoCD or Flux.
Why Join Us?
Build and operate enterprise-scale Kubernetes infrastructure supporting mission-critical data platforms.
Solve challenging distributed systems problems involving performance, scalability, and reliability.
Work with modern cloud-native technologies including Amazon EKS, Karpenter, Spark, and AWS.
Influence platform architecture and engineering best practices while working alongside experienced cloud and data engineers.
Make a direct impact by building highly resilient infrastructure that powers large-scale analytics and data processing workloads.
---------------------------Thanks & Regards