Lead Terraform Engineer - GCP
Concord, CA & Charlotte, NC
In this role, you will:
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 for Wells Fargo Enterprise
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
Desired Qualifications:
Cloud certification on GCP
Exposure to Cloud governance and
logging/monitoring tools
Experience with Agile, CI/CD,
DevOps concepts and Site Reliability Engineer (SRE) principles
Proficient on container-based
solution services, have handled 2-3 large scale Kubernetes based infrastructure
build out, provisioning of services in Azure or GCP
Experience in scripting (Shell,
Python)
Good understanding of networking,
firewalls, load balancing concepts (IP, DNS, Guardrails, Vnets) and exposure to
database, cloud security, AD, authentication methods, RBAC
Excellent verbal, written, and
interpersonal communication skills
Ability to articulate technical
solutions to both technical and business audiences
Ability to deliver & engage
with partners effectively in a multi-cultural environment by demonstrating
co-ownership & accountability in a matrix structure
Delivery focus and willingness to
work in a fast-paced, enterprise environment
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