Lead complex technology Cloud initiatives, including those that are companywide, with broad impact
Act as a key contributor in automating the provisioning of Cloud Infrastructure using Infrastructure as Code (IaC)
Make decisions in developing standards and best practices for engineering and large-scale technology solutions
Design, optimize, and document the engineering aspects of the Cloud platform
Lead and share understanding of industry best practices and how new technologies influence the Cloud technology team to meet deliverables and drive new initiatives
Review and analyze complex, large-scale technology solutions in Cloud for strategic business objectives and solving technical challenges that require in-depth evaluation of multiple parameters, including intangibles or unprecedented technical factors
Collaborate and consult with key technical experts, senior technology team, and external industry groups to resolve complex technical issues and achieve goals
Build and enable Cloud infrastructure, automate the orchestration for GCP
Work in a globally distributed team and provide innovative and robust Cloud centric solutions
Closely work with Product Team and vendors to develop and deploy Cloud services to meet customer expectations
Collaborate with architects, developers, and operations teams to ensure seamless integration and delivery of cloud-based systems
Gather and analyze data to diagnose the root cause of Cloud issues, recommend and implement solutions to resolve issues in timely manner
Required Qualifications:
5+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
3+ years working with Google Cloud Platform (GCP) and a proven track record of building complex infrastructure programmatically with Infrastructure as Code (IaC) tools
2+ years of hands-on experience with IaC tools Terraform and GitHub
Strong understanding of GCP networking services, such as Virtual Private Cloud (VPC), Cloud Virtual Private Network (VPN), Cloud Interconnect, Virtual Network (Vnet) and Cloud Load Balancing
Knowledge and understanding of Cloud service offerings such as Data, Analytics, AI/ML on GCP
Demonstrated experience on at least three of the following key services: Big Query, Composer, Vertex AI, Document AI, Agent Builder, DataProc, Data Catalog, Notebook
In-depth knowledge of network protocols, security, and compliance standards
Experience with scripting and automation tools for network provisioning and configuration
Knowledge and understanding of Cloud service offerings on Security, Data Protection and Security policy implementations
Basic understanding of Cloud computing concepts like landing zone and Blueprints