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- Proficient in translating designs into fully developed Terraform code.
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- Solid understanding of cloud networking concepts, subnets, routing, load balancing, firewalls, and cloud security.
- Experience in enterprise-scale environments, building highly available IaaS and PaaS solutions
- Understanding of landing zones, cloud-native security, monitoring and logging tools, and Well-Architected Framework principals.
- Understanding of Azure data analytics technologies including Azure Data Factory, Azure Data Lake, Azure Databricks. Microsoft Purview and Power BI
- Excellent collaboration skills and ability to work in a global team
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Cloud Lead - Plano, United States - HexaQuEST Global, Inc.
Description
Write public cloud infrastructure as code automation using tools such as Terraform
Design and develop public cloud landing zones automation to build core cloud foundational platform services
Develop cloud services provisioning automation with integrated capabilities of IAM, network, security policies as code, and observability
Implement built-in resiliency, observability, and enable FinOps as a part of infrastructure automation to enable data PaaS services
Develop and maintain cloud services catalog for app developers and devops teams
Develop CI/CD pipelines to build the cloud data analytics platform
Collaborate with technical product management and operations, to deliver the engineering roadmap in Agile model
Partner with Information Security teams to engineer secure app patterns into Cloud platforms
Assist in translating business requirements into technical definitions, reference models, blueprints, and playbooks for deployment in compliance with architecture standards and policies
Assist technical Analysts and Infrastructure Engineers by ensuring that technology solutions comply with enterprise system design and engineering standards.
Promote an inclusive and healthy working environment and help to resolve organizational impediments/blockers
Significant experience writing Hashicorp Terraform configurations and modules.
Experience in Cloud logging, monitoring, and observability tools
Proficient in at least one scripting language (i.e. Bash, Python).
Strong analytical, problem solving and organizational skills
Excellent communication skills
Minimum 3+ years of Cloud Automation Engineer working experience
Experience in financial services industry
Experience on technology and infrastructure teams
Experience in Linux/UNIX system administration
§Experience in Azure data analytics technologies including Azure Data Factory, Azure Data Lake, Azure Databricks, Microsoft Purview and Power BI