Sun Technologies
Overview
Location:
100% Remote, Georgia Duration:
up to 3 months contract with possible extension Job Description
Work Location:
Johns Creek, GA (can be remote but will have to travel once or twice a month to Atlanta at own cost) Pay Range:
$60 – $70/hr. The pay rate may differ depending on your skills, education, experience, and other qualifications. Featured Benefits: Medical Insurance in compliance with the ACA. 401(k). Sick leave in compliance with applicable state, federal, and local laws. Job Description: Highly skilled Automation Engineer with deep expertise in KEDA (Kubernetes Event-Driven Autoscaling) Integrate KEDA with cloud-native services (Google Cloud Pub/Sub, GKE ingress, Kafka) to trigger scaling events. Optimize performance and cost-efficiency of containerized applications through intelligent scaling strategies. Provide technical guidance and documentation for KEDA implementation across multiple business units. Monitor and troubleshoot autoscaling behavior, ensuring reliability and responsiveness of services. Collaborate with DevOps, SRE, and application teams to analyze traffic patterns and configure event-driven scaling. Expertise with CD tools like Argo CD, Gitlab CD & Spinnaker is required.
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Location:
100% Remote, Georgia Duration:
up to 3 months contract with possible extension Job Description
Work Location:
Johns Creek, GA (can be remote but will have to travel once or twice a month to Atlanta at own cost) Pay Range:
$60 – $70/hr. The pay rate may differ depending on your skills, education, experience, and other qualifications. Featured Benefits: Medical Insurance in compliance with the ACA. 401(k). Sick leave in compliance with applicable state, federal, and local laws. Job Description: Highly skilled Automation Engineer with deep expertise in KEDA (Kubernetes Event-Driven Autoscaling) Integrate KEDA with cloud-native services (Google Cloud Pub/Sub, GKE ingress, Kafka) to trigger scaling events. Optimize performance and cost-efficiency of containerized applications through intelligent scaling strategies. Provide technical guidance and documentation for KEDA implementation across multiple business units. Monitor and troubleshoot autoscaling behavior, ensuring reliability and responsiveness of services. Collaborate with DevOps, SRE, and application teams to analyze traffic patterns and configure event-driven scaling. Expertise with CD tools like Argo CD, Gitlab CD & Spinnaker is required.
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