Cloud-Native Infrastructure Engineer (Google Cloud Platform + KEDA)

Overview

On Site
Accepts corp to corp applications
Contract - Independent
Contract - W2

Skills

terraform
gcp
Kubernetes
KEDA

Job Details

Cloud-Native Infrastructure Engineer (Google Cloud Platform + KEDA) Atlanta, GA (3 days onsite)

About the Role

We're hiring for one of our premier consulting clients modernizing enterprise-scale infrastructure with cloud-native, event-driven, and auto-scaling architectures. As a Cloud-Native Infrastructure Engineer, you'll design, implement, and optimize scalable systems built on KEDA and Google Cloud Platform (Google Cloud Platform). This is a hands-on role working closely with DevOps and SRE teams to ensure systems scale automatically, perform efficiently, and remain highly available.

Key Responsibilities

  • Design and implement auto-scaling frameworks using KEDA and other tools for containerized workloads.

  • Integrate Google Cloud Platform-native services such as Pub/Sub, GKE, and Ingress for event-driven scaling.

  • Collaborate with DevOps/SRE teams to analyze traffic patterns and define scaling thresholds.

  • Build and optimize CI/CD pipelines with Argo CD, GitLab CI/CD, or Spinnaker.

  • Automate infrastructure using Terraform, Helm, and Kubernetes manifests.

  • Monitor and fine-tune scaling behavior through Prometheus, Grafana, and Stackdriver.

  • Drive reliability, cost optimization, and operational excellence across environments.

Required Skills & Qualifications

  • Production-level experience with KEDA and event-driven architectures.

  • Deep knowledge of Google Cloud Platform (GKE, Pub/Sub, Ingress).

  • Experience with Kafka or similar message brokers.

  • Hands-on expertise in CI/CD, IaC (Terraform, Helm), and scripting (Python, Bash, YAML).

  • Strong understanding of Kubernetes operations, scaling, and automation.

Preferred Qualifications

  • Google Cloud Platform Certifications (Cloud Architect, DevOps Engineer).

  • Experience with Prometheus, Grafana, or Stackdriver.

  • Exposure to multi-cloud or hybrid environments.

  • Proven record in cost and performance optimization.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

About Acunor Infotech