Cloud Infrastructure Engineer (Azure & AWS)-W2 Local to Austin TX

Overview

On Site
Hybrid
Depends on Experience
Contract - W2
Contract - Independent
Contract - 6 Month(s)
No Travel Required

Skills

cloud infrastructure on Azure and AWS flavors.
APEX cloud services (IaaS
PaaS and serverless)
command language scripting (Bash
Korn
PowerShell
Cloud CLI
Kubernetes Helm) and third-party tools.
YAML
JSON
Ruby
HCL
Ansible
Docker
Terraform
Sysdig Secure (CNAPP)
Dynatrace
Cloud native toolsets (AWS CloudWatch
GCP Cloud Operations
Azure Monitor
OCI Monitoring
Azure Data Factory
OCI Data Integrator
Google Data Fusion
AWS Kinesis
Data Sync
Data copy.
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

Job Details

Cloud Infrastructure Engineer (Azure & AWS)-W2 Local to Austin TX Location: Austin TX Onsite work required

These candidates must be direct W2 candidates

*** The applicant will need to reside in Texas. Preferred no more than 1 hour from Austin, Texas ***

Resume and Photo ID required: For the safety and security of our clients and their systems,
Please place this at the beginning of the resume when submitting the resume.

POSITION DESCRIPTION:

Resource will support the HHS Data Center Operations - AI & Application Platform for Excellence (APEX), hub and spoke, cloud infrastructure on Azure and AWS flavors. This position will join the APEX team and focus on APEX cloud services (IaaS, PaaS and serverless). This position will build, implement, configure, monitor, administer and secure cloud services (IaaS, PaaS and serverless).

HHS will leverage this resource to support cloud steady state activities and cloud migrations for HHS Data Center Operations APEX team. This is in support of migrating and supporting HHS applications geared to be migrated to supported cloud providers.


REQURIED SKILLS:

Minimum of 6+ years of experience

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, Google Cloud Platform 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 (Rational/NoSQL and SQL/Oracle) data lakes and cloud ETL/ELT best practices, suitable frameworks of 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
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).
Highly organized, responsive and highly detailed problem solver.
Worked for or have experience with Texas HHSC or other Texas state IT agencies.

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.

About Digerati Systems Inc