4 cloud cost optimization engineer jobs at 4 companies in Kyle, TX

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Senior Solutions Architect - Finops and Cloud Optimization
Austin or North America or United States or Canada or South America
RemoteFull Time
Virtasant
Virtasant: Global provider of cloud technology services and IT consulting.
Demonstrated FinOps and cloud cost optimization experience, strong AWS, SQL and Python skills, customer-facing consulting experience, and ability to lead optimization programs and communicate with senior stakeholders.
AWS, Athena, Python, SQL, Kubernetes, LLMs
2mo
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Senior Software Engineer – Cloud Engineering & FinOps
Austin or Warren
HybridFull Time
General Motors
General MotorsNYSE: GM: Manufactures and sells automobiles and automotive parts globally.
5+ YOE5+ years software engineering; cloud-native; Next.js/React; Go; Docker; Kubernetes; cloud cost optimization
Next.js, React, Go, Docker, Kubernetes, Terraform
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Engineer III, Platform Engineering
Cranberry Township or Austin or Milpitas
$144k-$174k/yr RemoteFull Time
Omnicell
OmnicellNASDAQ: OMCL: Provider of automated medication management and pharmacy solutions.
5+ YOE5+ years software engineering experience. Hands-on with cloud infrastructure, Terraform/Terragrunt, Kubernetes/EKS, Python, CI/CD, observability, incident management, cloud cost optimization, and Linux administration.
Terraform, Terragrunt, Python, Kubernetes, AWS, AWS EKS, Helm, Kafka, PostgreSQL, Linux, ArgoCD, OpenTelemetry, AWS CloudWatch, NiFi, ClickHouse
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Sr Delivery Consultant - Data Architect, AWS Professional Services
Austin or Seattle or Arlington or Atlanta or New York or Chicago or Mountain View or Houston or Dallas
$154k-$239k/yr OnsiteFull Time
Amazon
AmazonNASDAQ: AMZN: Global online retail and cloud computing technology provider.
5+ YOE5+ years database, software development, customer-facing project management, and cloud architecture experience; bachelor’s in CS/engineering/mathematics or equivalent; AWS certification preferred; knowledge of security/compliance and cost optimization.
SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis, AWS