Google Cloud Platform Cloud Engineer

Role name:

Developer

Role Description:

Act as consultant and subject matter expert for internal stakeholders in engineering, sales, customer organizations to resolve technical deployment obstacles and improve Google Cloud Bachelors or master's degree in computer science, computer engineering, or other technical discipline, or equivalent work experience 1-5 + years of experience with Infrastructure automation tools (Terraform), with a focus on IaC and immutable infrastructure 1-5 + years of experience with Google Cloud Platform cloud foundational offerings IAM, VPC, Cloud Logging, Security controls, Storage and Compute In-depth understanding of Google Clouds GKE Enterprise, Serverless, BigData and Data analytics native offering such as Dataproc, Composer, Dataflow, BQ and other technology and underlying architectures by troubleshooting, reproducing, and determining the root cause for customer-reported issues, building tools, and faster diagnosis. Software development experience in one of the OO programming language: Java, Go and or Python Understanding of good cloud architecture to ensure high availability while ensuring the highest level of security and visibility. Strong background of Container & Orchestration Technologies such as Docker, Kubernetes, Openshift Understanding of Traffic Flow Management, to include Service Mesh concepts, with experience in Istio preferred, as well as how GTM and LTMs manage traffic flows. Experience with Logging and Monitoring tools such as Stackdriver, Prometheus and OTEL. FinOps (cloud) domain knowledge preferred Ability to effectively interpret technical and business objectives and challenges and articulate solutions Confirmed support of production systems at scale. Willingness to learn new technologies and exploit them to their optimal potential

Competencies:

Digital : Google Cloud, CloudBees

Experience (Years):

6-8

Essential Skills:

Act as consultant and subject matter expert for internal stakeholders in engineering, sales, customer organizations to resolve technical deployment obstacles and improve Google Cloud Bachelors or master's degree in computer science, computer engineering, or other technical discipline, or equivalent work experience 1-5 + years of experience with Infrastructure automation tools (Terraform), with a focus on IaC and immutable infrastructure 1-5 + years of experience with Google Cloud Platform cloud foundational offerings IAM, VPC, Cloud Logging, Security controls, Storage and Compute In-depth understanding of Google Clouds GKE Enterprise, Serverless, BigData and Data analytics native offering such as Dataproc, Composer, Dataflow, BQ and other technology and underlying architectures by troubleshooting, reproducing, and determining the root cause for customer-reported issues, building tools, and faster diagnosis. Software development experience in one of the OO programming language: Java, Go and or Python Understanding of good cloud architecture to ensure high availability while ensuring the highest level of security and visibility. Strong background of Container & Orchestration Technologies such as Docker, Kubernetes, Openshift Understanding of Traffic Flow Management, to include Service Mesh concepts, with experience in Istio preferred, as well as how GTM and LTMs manage traffic flows. Experience with Logging and Monitoring tools such as Stackdriver, Prometheus and OTEL. FinOps (cloud) domain knowledge preferred Ability to effectively interpret technical and business objectives and challenges and articulate solutions Confirmed support of production systems at scale. Willingness to learn new technologies and exploit them to their optimal potential

Desirable Skills:

Act as consultant and subject matter expert for internal stakeholders in engineering, sales, customer organizations to resolve technical deployment obstacles and improve Google Cloud Bachelors or master's degree in computer science, computer engineering, or other technical discipline, or equivalent work experience 1-5 + years of experience with Infrastructure automation tools (Terraform), with a focus on IaC and immutable infrastructure 1-5 + years of experience with Google Cloud Platform cloud foundational offerings IAM, VPC, Cloud Logging, Security controls, Storage and Compute In-depth understanding of Google Clouds GKE Enterprise, Serverless, BigData and Data analytics native offering such as Dataproc, Composer, Dataflow, BQ and other technology and underlying architectures by troubleshooting, reproducing, and determining the root cause for customer-reported issues, building tools, and faster diagnosis. Software development experience in one of the OO programming language: Java, Go and or Python Understanding of good cloud architecture to ensure high availability while ensuring the highest level of security and visibility. Strong background of Container & Orchestration Technologies such as Docker, Kubernetes, Openshift Understanding of Traffic Flow Management, to include Service Mesh concepts, with experience in Istio preferred, as well as how GTM and LTMs manage traffic flows. Experience with Logging and Monitoring tools such as Stackdriver, Prometheus and OTEL. FinOps (cloud) domain knowledge preferred Ability to effectively interpret technical and business objectives and challenges and articulate solutions Confirmed support of production systems at scale. Willingness to learn new technologies and exploit them to their optimal potential Act as consultant and subject matter expert for internal stakeholders in engineering, sales, customer organizations to resolve technical deployment obstacles and improve Google Cloud Bachelors or master's degree in computer science, computer engineering, or other technical discipline, or equivalent work experience 1-5 + years of experience with Infrastructure automation tools (Terraform), with a focus on IaC and immutable infrastructure 1-5 + years of experience with Google Cloud Platform cloud foundational offerings IAM, VPC, Cloud Logging, Security controls, Storage and Compute In-depth understanding of Google Clouds GKE Enterprise, Serverless, BigData and Data analytics native offering such as Dataproc, Composer, Dataflow, BQ and other technology and underlying architectures by troubleshooting, reproducing, and determining the root cause for customer-reported issues, building tools, and faster diagnosis. Software development experience in one of the OO programming language: Java, Go and or Python Understanding of good cloud architecture to ensure high availability while ensuring the highest level of security and visibility. Strong background of Container & Orchestration Technologies su

Country:

United States

Branch | City | Location:

- Phoenix,AZ
PHOENIX
Phoenix,AZ