Cloud Infrastructure Engineer (Azure & AWS)

Job Title : Cloud Infrastructure Engineer (Azure & AWS) (ONLY W2)

Location : Austin, TX (Hybrid)

Duration : 10+ Months Contract with possibility to extension

Job 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.

Required 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, 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 (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 :