Chelsoft Solutions Co.
Cloud Infrastructure Engineer (Azure & AWS)_W2_Texas
Chelsoft Solutions Co., Austin, Texas, us, 78716
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Overview Cloud Infrastructure Engineer position focusing on Azure and AWS with emphasis on engineering, automation, and secure design of cloud networking and cloud service models (IaaS, PaaS, SaaS, Serverless).
Responsibilities
Knowledge and experience in solutioning, configuring, integrating and securing cloud networking and cloud service models (IaaS, PaaS, SaaS, Serverless) in Azure and/or AWS.
Experience and understanding of cloud computing DevOps principles Continuous Integration/Continuous Design (CI/CD).
Experience with containerization, deploying and configuring microservices.
Kubernetes architecture deployment, scaling, and maintenance.
Proficient automation skillset using a combination of command language scripting (Bash, Korn, PowerShell, Cloud CLI, Kubernetes Helm) and third-party tools.
Experience with declarative and imperative languages (YAML, JSON, Ruby, HCL, etc.) and tools that are leveraged (Ansible, Docker, Terraform, etc) to leverage infrastructure-as-code (IaC).
Experience with cloud and performance monitoring, auditing logging, and operations tools such as: Sysdig Secure (CNAPP), Dynatrace, Cloud native toolsets (AWS CloudWatch, GCP Cloud Operations, Azure Monitor, OCI Monitoring, etc.).
Experience and knowledge of cloud recovery strategies for storage replication, automated recovery plans and protecting data for cloud disaster recovery.
Knowledge and/or hands-on experience with cloud database services (Relational/NoSQL and SQL/Oracle), data lakes and cloud ETL/ELT best practices, suitable frameworks for handling all types of data for structured and unstructured information.
Understanding cloud services like Azure Data Factory, OCI Data Integrator, Google Data Fusion, AWS Kinesis, Data Sync, Data copy.
Experience and understanding of best practices for optimizing IT cloud infrastructure, tracing, and troubleshooting, aligning with standards, policy and IT information security controls.
Effective written and oral communication.
Minimum Qualifications
Minimum of 6+ years of experience in the areas listed above.
Knowledge and experience in solutioning, configuring, integrating and securing cloud networking and cloud service models (IaaS, PaaS, SaaS, Serverless) in Azure and/or AWS.
Experience and understanding of cloud computing DevOps principles Continuous Integration/Continuous Design (CI/CD).
Experience with Containerization, deploying and configuring microservices.
Kubernetes architecture deployment, scaling, and maintenance.
Proficient automation skillset using a combination of command language scripting (Bash, Korn, PowerShell, Cloud CLI, Kubernetes Helm) and third-party tools.
Experience with declarative and imperative languages (YAML, JSON, Ruby, HCL, etc.) and tools that are leveraged (Ansible, Docker, Terraform, etc) to leverage infrastructure-as-code (IaC).
Experience with cloud and performance monitoring, auditing logging, and operations tools such as: Sysdig Secure (CNAPP), Dynatrace, Cloud native toolsets (AWS CloudWatch, GCP Cloud Operations, Azure Monitor, OCI Monitoring, etc.).
Experience and knowledge of cloud recovery strategies for storage replication, automated recovery plans and protecting data for cloud disaster recovery.
Knowledge and/or hands-on experience with cloud database services (Relational/NoSQL and SQL/Oracle), data lakes and cloud ETL/ELT best practices, suitable frameworks for handling all types of data for structured and unstructured information.
Understanding cloud services like Azure Data Factory, OCI Data Integrator, Google Data Fusion, AWS Kinesis, Data Sync, Data copy.
Understanding of best practices for optimizing IT cloud infrastructure, tracing, and troubleshooting, aligning with standards, policy and IT information security controls.
Effective written and oral communication.
Preferred Skills
One or more Cloud certifications for Azure, AWS, Google or Oracle Certified Engineer, Cloud Certified Solutions Architect, Data Architect, DevOps Engineer and/or equivalent work experience.
Experience in solutioning, configuring, integrating and securing cloud networking and cloud service models (IaaS, PaaS, SaaS, Serverless).
Job Details
Seniority level: Mid-Senior level
Employment type: Contract
Job function: Information Technology
Industries: IT Services and IT Consulting
Note: This description excludes irrelevant postings and keeps only the information relevant to the role and requirements. EEO statements should be included as required by law and company policy.
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Overview Cloud Infrastructure Engineer position focusing on Azure and AWS with emphasis on engineering, automation, and secure design of cloud networking and cloud service models (IaaS, PaaS, SaaS, Serverless).
Responsibilities
Knowledge and experience in solutioning, configuring, integrating and securing cloud networking and cloud service models (IaaS, PaaS, SaaS, Serverless) in Azure and/or AWS.
Experience and understanding of cloud computing DevOps principles Continuous Integration/Continuous Design (CI/CD).
Experience with containerization, deploying and configuring microservices.
Kubernetes architecture deployment, scaling, and maintenance.
Proficient automation skillset using a combination of command language scripting (Bash, Korn, PowerShell, Cloud CLI, Kubernetes Helm) and third-party tools.
Experience with declarative and imperative languages (YAML, JSON, Ruby, HCL, etc.) and tools that are leveraged (Ansible, Docker, Terraform, etc) to leverage infrastructure-as-code (IaC).
Experience with cloud and performance monitoring, auditing logging, and operations tools such as: Sysdig Secure (CNAPP), Dynatrace, Cloud native toolsets (AWS CloudWatch, GCP Cloud Operations, Azure Monitor, OCI Monitoring, etc.).
Experience and knowledge of cloud recovery strategies for storage replication, automated recovery plans and protecting data for cloud disaster recovery.
Knowledge and/or hands-on experience with cloud database services (Relational/NoSQL and SQL/Oracle), data lakes and cloud ETL/ELT best practices, suitable frameworks for handling all types of data for structured and unstructured information.
Understanding cloud services like Azure Data Factory, OCI Data Integrator, Google Data Fusion, AWS Kinesis, Data Sync, Data copy.
Experience and understanding of best practices for optimizing IT cloud infrastructure, tracing, and troubleshooting, aligning with standards, policy and IT information security controls.
Effective written and oral communication.
Minimum Qualifications
Minimum of 6+ years of experience in the areas listed above.
Knowledge and experience in solutioning, configuring, integrating and securing cloud networking and cloud service models (IaaS, PaaS, SaaS, Serverless) in Azure and/or AWS.
Experience and understanding of cloud computing DevOps principles Continuous Integration/Continuous Design (CI/CD).
Experience with Containerization, deploying and configuring microservices.
Kubernetes architecture deployment, scaling, and maintenance.
Proficient automation skillset using a combination of command language scripting (Bash, Korn, PowerShell, Cloud CLI, Kubernetes Helm) and third-party tools.
Experience with declarative and imperative languages (YAML, JSON, Ruby, HCL, etc.) and tools that are leveraged (Ansible, Docker, Terraform, etc) to leverage infrastructure-as-code (IaC).
Experience with cloud and performance monitoring, auditing logging, and operations tools such as: Sysdig Secure (CNAPP), Dynatrace, Cloud native toolsets (AWS CloudWatch, GCP Cloud Operations, Azure Monitor, OCI Monitoring, etc.).
Experience and knowledge of cloud recovery strategies for storage replication, automated recovery plans and protecting data for cloud disaster recovery.
Knowledge and/or hands-on experience with cloud database services (Relational/NoSQL and SQL/Oracle), data lakes and cloud ETL/ELT best practices, suitable frameworks for handling all types of data for structured and unstructured information.
Understanding cloud services like Azure Data Factory, OCI Data Integrator, Google Data Fusion, AWS Kinesis, Data Sync, Data copy.
Understanding of best practices for optimizing IT cloud infrastructure, tracing, and troubleshooting, aligning with standards, policy and IT information security controls.
Effective written and oral communication.
Preferred Skills
One or more Cloud certifications for Azure, AWS, Google or Oracle Certified Engineer, Cloud Certified Solutions Architect, Data Architect, DevOps Engineer and/or equivalent work experience.
Experience in solutioning, configuring, integrating and securing cloud networking and cloud service models (IaaS, PaaS, SaaS, Serverless).
Job Details
Seniority level: Mid-Senior level
Employment type: Contract
Job function: Information Technology
Industries: IT Services and IT Consulting
Note: This description excludes irrelevant postings and keeps only the information relevant to the role and requirements. EEO statements should be included as required by law and company policy.
#J-18808-Ljbffr