Cloud-Native Infrastructure Engineer

Overview

On Site
Accepts corp to corp applications
Contract - 6 Month(s)

Skills

Internet
Firewall management (e.g. DMZ
Third Party connections)
specifically for Next Generation Firewalls Maintenance of IPAM

Job Details

Title: Cloud-Native Infrastructure Engineer

Location: Atlanta, GA (3 days onsite)

Duration: C2C

Job Description:

We are seeking a highly skilled Cloud-Native Auto-Scaling Engineer with deep expertise in KEDA and other auto-scaling frameworks to join our dynamic DevOps and SRE ecosystem. This role is pivotal in designing, implementing, and optimizing scalable cloud-native solutions, particularly on Google Cloud Platform (Google Cloud Platform), to ensure high availability and performance of mission-critical applications.

Key Responsibilities:

  • Design, implement, and maintain auto-scaling solutions using KEDA and other relevant tools for cloud-native workloads.
  • Provide technical documentation and guidance for the adoption of KEDA in Google Cloud Platform environments.
  • Collaborate with DevOps, SRE, and application teams to analyze application traffic patterns and define appropriate scaling triggers.
  • Integrate and manage Google Cloud Platform-native services such as Google Cloud Pub/Sub, GKE Ingress, and Kafka for event-driven scaling.
  • Develop and maintain CI/CD pipelines using tools like Argo CD, GitLab CI/CD, and Spinnaker.
  • Ensure observability and monitoring of scaling behavior and performance metrics.
  • Drive best practices for cloud-native architecture, automation, and infrastructure as code (IaC).
  • Participate in performance tuning, cost optimization, and incident response related to scaling infrastructure.

Required Skills & Qualifications:

  • Proven experience with KEDA or similar auto-scaling frameworks in production environments.
  • Strong hands-on experience with Google Cloud Platform (Google Cloud Platform) services, especially Pub/Sub, GKE, and Ingress controllers.
  • Proficiency in event-driven architectures and message brokers like Kafka.
  • Solid understanding of CI/CD pipelines and experience with Argo CD, GitLab CI/CD, and Spinnaker.
  • Strong scripting and automation skills (e.g., Bash, Python, YAML).
  • Experience with Kubernetes, Helm, and Infrastructure as Code tools (e.g., Terraform).
  • Excellent communication and documentation skills.

Preferred Qualifications:

  • Google Cloud Platform certifications (e.g., Professional Cloud DevOps Engineer, Cloud Architect).
  • Experience with observability tools like Prometheus, Grafana, or Stackdriver.
  • Familiarity with multi-cloud or hybrid cloud environments.
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