Wells Fargo

Senior Software Engineer – Generative AI, Cloud, LLM API Systems

Wells Fargo

full-time

Posted on:

Location Type: Hybrid

Location: CharlotteCaliforniaNorth CarolinaUnited States

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Salary

💰 $100,000 - $196,000 per year

Job Level

About the role

  • Lead moderately complex initiatives and deliverables within technical domain environments
  • Contribute to large scale planning of strategies
  • Design, code, test, debug, and document for projects and programs associated with technology domain, including upgrades and deployments
  • Review moderately complex technical challenges that require an in-depth evaluation of technologies and procedures
  • Resolve moderately complex issues and lead a team to meet existing client needs or potential new clients needs while leveraging solid understanding of the function, policies, procedures, or compliance requirements
  • Collaborate and consult with peers, colleagues, and mid-level managers to resolve technical challenges and achieve goals
  • Lead projects and act as an escalation point, provide guidance and direction to less experienced staff

Requirements

  • 4+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
  • Hands-on experience engineering cloud landing zones (projects/subscriptions, org policies, VPC/VNETs, firewalls, service perimeters) and documenting control plane vs compute plane topology patterns
  • Experience provisioning resources in GCP and Azure using Terraform (IaC), including secrets integration patterns with HashiCorp Vault
  • Experience implementing secure hybrid connectivity (peering/PSC, DNS, egress) between on-prem OCP and cloud environments to support API calls to model endpoints and internal services
  • Strong Kubernetes knowledge (preferably GKE) and experience hosting applications on Kubernetes platforms (GKE/OCP or similar)
  • Experience establishing observability baselines and dashboards for runtime inferencing paths (latency, error rate, tokens/sec, TTFB) and operating SLO views
  • Python experience building automation, platform services, and tooling to support provisioning, operations, and developer workflows
  • UI skills: experience building internal portals/dashboards for onboarding, operational visibility, and workflow execution (developer/ops experiences)
  • GenAI experience: understanding of GenAI concepts (LLMs, RAG, LLM architecture) to support day-to-day platform design decisions and delivery
Benefits
  • Health benefits
  • 401(k) Plan
  • Paid time off
  • Disability benefits
  • Life insurance, critical illness insurance, and accident insurance
  • Parental leave
  • Critical caregiving leave
  • Discounts and savings
  • Commuter benefits
  • Tuition reimbursement
  • Scholarships for dependent children
  • Adoption reimbursement
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
Software Engineeringcloud landing zonesGCPAzureTerraformKubernetesPythonobservability baselinesGenAIAPI
Soft Skills
leadershipcollaborationproblem-solvingcommunicationguidanceteamworkconsultationstrategic planningtechnical evaluationclient needs assessment