Overview
Hybrid
Depends on Experience
Contract - W2
Contract - 12 Month(s)
Skills
Sysdig Secure (CNAPP)
Dynatrace
Cloud native toolsets (AWS CloudWatch
GCP Cloud Operations
Azure Monitor
OCI Monitoring
YAML
JSON
Ruby
HCL
IaaS
PaaS
SaaS
Azure
AWS
Azure Data Factory
OCI Data Integrator
Google Data Fusion
AWS Kinesis
Data Sync
Data copy
Job Details
Cloud Infrastructure Engineer (Azure & AWS)
Austin TX - Hybrid
POSITION DESCRIPTION:
Resource will support the client 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).
Client will leverage this resource to support cloud steady state activities and cloud migrations for their Data Center Operations APEX team.
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.
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.