Senior Software Automation Engineer – Gen AI

Wells Fargo

. Design, develop and maintain cloud-native applications, APIs and microservices supporting the IPE platform .

Posted 10/6/2026full-timeUnited StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and developing cloud-native applications, APIs, and microservices, with a strong focus on scalability, performance, and AI-powered workflows. Proficient in leading technical initiatives and collaborating with cross-functional teams to deliver innovative solutions.

Highest-signal resume keywords

Cloud-Native Application DevelopmentPython ProgrammingREST API DesignKubernetes OrchestrationAgile Development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software EngineeringMicroservices ArchitectureSQL DatabasesNoSQL DatabasesCI/CD PipelinesAutomated TestingDevOps PracticesIncident AnalysisDebuggingProblem-Solving

Soft Skills

Strong Communication SkillsTeam LeadershipCollaboration

Tools & Technologies

ServiceNowObservability PlatformsEnterprise LLM PlatformsMCP IntegrationsVector SearchAgent Orchestration Frameworks

Industry Keywords

Enterprise-Scale ApplicationsTechnical ChallengesOperational ReadinessRisk ComplianceHiring Requirements

Tech Stack

Tools & technologies

CloudDistributed SystemsJavaScriptKubernetesMicroservicesNoSQLOpenShiftPythonServiceNowSQLTypeScript

About the role

Key responsibilities & impact

Design, develop and maintain cloud-native applications, APIs and microservices supporting the IPE platform
Build scalable backend services using modern development frameworks and engineering best practices
Develop reusable integration patterns for ServiceNow, observability platforms, knowledge repositories, databases and enterprise systems
Contribute to platform architecture, scalability, resiliency and performance improvements
Develop AI-powered workflows using enterprise LLM platforms, MCP integrations, vector search and agent orchestration frameworks
Build and enhance agent capabilities for incident triage, root cause analysis, automation recommendations and operational insights
Implement multi-agent orchestration, intelligent routing and workflow execution
Enhance AI governance, traceability, security controls and responsible AI implementation
Lead moderately complex initiatives and deliverables within technical domains
Design, code, test, debug and document technology projects and programs, including upgrades and deployments
Review and resolve moderately complex technical challenges
Lead a team to meet client needs and act as an escalation point
Collaborate with peers, colleagues and mid-level managers to resolve technical challenges
Lead projects and provide guidance to less experienced staff

Requirements

What you’ll need

Bachelor's degree in Computer Science, Computer Engineering, Information Systems or related field
4+ years of software engineering experience developing enterprise-scale applications and services
Strong programming experience in Python, TypeScript, JavaScript, or similar languages
Experience designing and developing REST APIs, microservices and distributed systems
Experience with cloud-native technologies, containers and orchestration platforms such as Kubernetes/OpenShift
Experience with SQL and NoSQL databases
Knowledge of CI/CD pipelines, source control, automated testing and DevOps practices
Strong troubleshooting, debugging, and problem-solving skills
Experience working within Agile development teams
Ability to participate in production support, incident analysis and operational readiness activities
Strong written and verbal communication skills with technical and non-technical stakeholders
Qualified applicants must meet applicable employment, risk, compliance and hiring requirements

Benefits

Comp & perks

Equal opportunity employment practices
Medical accommodation available during recruitment and interview
Drug-free workplace