AI Technologies LLC.
Cloud-Native Infrastructure Engineer
AI Technologies LLC., Atlanta, Georgia, United States, 30383
Job Title: Cloud-Native Infrastructure Engineer
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.
Key Skills:
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.
AI TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. AI TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will AI TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract.
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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.
Key Skills:
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.
AI TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. AI TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will AI TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract.
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