Cloud Engineer (5889)

Phoenix, AZ, US • Posted 16 hours ago • Updated 16 hours ago
Contract Corp To Corp
Contract W2
No Travel Required
Able to Sponsor
On-site
Depends on Experience
Fitment

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Job Details

Skills

  • Kubernetes

Summary

Cloud Engineer (58891-1)
Location: Phoenix, AZ - onsite
Duration: 6 months
GBaMS ReqID: 10580767

Cloud Engineer
Google Cloud Platform, Terraform, GKE, Kubernetes, Python, Go lang

Act as consultant and subject matter expert for internal stakeholders in engineering, sales, customer organizations to resolve technical deployment obstacles and improve Google Cloud
Bachelor's 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 Cloud's 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 "

Role Descriptions: Act as consultant and subject matter expert for internal stakeholders in engineering| sales| customer organizations to resolve technical deployment obstacles and improve Google CloudBachelors or masters 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 infrastructure1-5 years of experience with Google Cloud Platform cloud foundational offerings IAM| VPC| Cloud Logging| Security controls| Storage and ComputeIn-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 PythonUnderstanding 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 preferredAbility to effectively interpret technical and business objectives and challenges and articulate solutionsConfirmed support of production systems at scale.Willingness to learn new technologies and exploit them to their optimal potential
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 CloudBachelors or masters 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 infrastructure1-5 years of experience with Google Cloud Platform cloud foundational offerings IAM| VPC| Cloud Logging| Security controls| Storage and ComputeIn-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 PythonUnderstanding 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 preferredAbility to effectively interpret technical and business objectives and challenges and articulate solutionsConfirmed support of production systems at scale.Willingness to learn new technologies and exploit them to their optimal potential
Desirable Skills:
Keyword:
Skills: CloudBees
Experience Required:

lls:

Category

Name

Required

Importance

Experience

SkillCategoryTest1_MN

Digital : Kubernetes

Yes

1

7+ years

Ski

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.
  • Dice Id: RTL149247
  • Position Id: 8904012
  • Posted 16 hours ago
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