Lead Specialty Software Engineer

4 weeks ago

Charlotte, North Carolina, United States Wells Fargo Full time
About this Role:

We are seeking a highly skilled Lead Specialty Software Engineer to join our Application and Cloud Transformation Platform Engineering team at Wells Fargo. As a key member of our team, you will be responsible for delivering services that provide data analytics, AI/ML, and data movement.

Key Responsibilities:
  • Lead complex technology Cloud initiatives, including those with company-wide impact.
  • Act as a key contributor in automating the provisioning of Cloud Infrastructure using Infrastructure as a 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 Google Cloud Platforms (GCP) for Wells Fargo Enterprise.
  • Work in a globally distributed team to provide innovative and robust Cloud-centric solutions.
  • Closely work with Product Team and vendors to develop and deploy Cloud services to meet customer expectations.
  • Gather and analyze data to diagnose the root cause of Cloud issues, recommend and implement solutions to resolve issues in a timely manner.
Requirements:
  • 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 a Code (IaC) tools.
  • 2+ years of hands-on experience with IaC tools Terraform and GitHub.
  • 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, DataProc, Data Catalog, Notebook.
Desired Qualifications:
  • Exposure to Cloud governance and logging/monitoring tools.
  • Cloud certification on GCP.
  • 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).
  • Understanding of Azure cloud service offerings such as Synapse, Purview, Data Lake, Logic Apps, Data Factory.
  • Good understanding of Azure Arc.
  • Good understanding of networking, firewalls, load balancing concepts (IP, DNS, Guardrails, Vnets) and exposure to database, cloud security, AD, authentication methods, RBAC.
  • Knowledge and understanding of Cloud service offerings on Security, Data Protection and Security policy implementations.
  • Intermediate understanding of Cloud computing concepts like landing zone and Blueprints.
  • 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.
Job Expectations:
  • Willingness to work on-site at stated location on the job opening.
  • This position offers a hybrid work schedule.
  • This position is not eligible for Visa sponsorship.

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