Lead Software Engineer

Wells Fargo

. Lead complex software engineering initiatives using core development principles and practices .

Posted 9/23/2026full-timeUnited StatesSenior💰 $119,000 - $224,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in software engineering, particularly in developing AI-enabled applications using Python, React, and modern API frameworks. Proficient in building and maintaining scalable backend services, integrating observability practices, and leading complex technology initiatives.

Highest-signal resume keywords

Software Engineering ExperiencePython DevelopmentAI/ML ConceptsAPI Design and DevelopmentCloud Platform Experience

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Hard Skills

PythonReactTypeScriptFastAPIFlaskAPI DevelopmentRelational DatabasesNoSQL DatabasesDevOpsCI/CD

Soft Skills

CollaborationMentoringProblem SolvingCommunication

Tools & Technologies

OpenShiftAWSAzureGoogle Cloud PlatformGitHubSonarQubeSplunkKafkaRedisPlaywright

Industry Keywords

AI SecurityResponsible AIGovernanceComplianceObservability

Tech Stack

Tools & technologies

AWSAzureCloudFlaskGoogle Cloud PlatformGraphQLJavaKafkaKubernetesMongoDBNoSQLOpenShiftPythonReactRedisSplunkTypeScript.NET

About the role

Key responsibilities & impact

Lead complex software engineering initiatives using core development principles and practices
Develop standards and adopt best practices for complex, large-scale technology solutions
Design, code, test, debug, and document software
Review and analyze large-scale technology solutions against business objectives and technical challenges
Collaborate with technical experts and cross-technology teams to resolve complex issues
Serve as an escalation point for application support and troubleshooting
Guide less experienced staff in resolving escalated and complex production, application, or system problems
Build Product Development backlogs with portfolio stakeholders and prioritize them with the Product Owner
Design, build, and maintain AI-enabled applications using React, TypeScript, Python, and modern API frameworks
Build and maintain Python backend services, APIs, MCP services, and integration layers using MCP, FastAPI, and Flask
Design and integrate MCP servers and clients for secure context sharing
Develop and support agentic workflows for complex, multi-step tasks
Build modular, skill-based, reusable, composable, and versioned agents
Create reusable components, services, tool schemas, and integration patterns for enterprise AI applications
Integrate logging, tracing, and observability tooling, including Arize- and Splunk-compatible tools
Prepare applications and services for deployment on OpenShift or Kubernetes
Collaborate with AI developers, platform engineers, product teams, and architecture partners
Follow Wells Fargo risk, compliance, governance, monitoring, escalation, and remediation requirements

Requirements

What you’ll need

5+ years of Software Engineering experience, or equivalent demonstrated through work experience, training, military experience, or education
4+ years of experience with a modern development language such as .NET, Python, React, or Java, with emphasis on Microsoft development tools and environments
4+ years of experience with relational databases
3+ years working with cloud, container, or hybrid platforms, including Cloud Foundry, OpenShift, AWS, Azure, or Google Cloud Platform
1+ year of experience with AI/ML concepts, including LLMs and prompt engineering
1+ years of experience with Co-pilot and/or Devin
Knowledge of observability practices, including logging, monitoring, and tracing
Experience with DevOps and CI/CD tools such as GitHub, Harness, Artifactory, SonarQube, Checkmarx, Black Duck, and Splunk
3+ years of experience with API design and development, including RESTful and GraphQL
2+ years of experience with MongoDB or other NoSQL databases
Knowledge of Kafka
Knowledge of Redis
Experience designing and scaling enterprise GenAI platforms and AI-driven products
Expertise in Agentic AI, multi-agent systems, RAG architectures, Knowledge Graphs, and long-term memory frameworks
Hands-on experience with Azure OpenAI, AWS Bedrock, and Google Vertex AI
Strong proficiency in Python with Fast MCP, FastAPI, and Flask
Experience with REST APIs, asynchronous services, and event-driven architectures
Experience establishing AI observability, monitoring, evaluation, resiliency, and reliability practices
Knowledge of AI security, responsible AI, governance, privacy, and regulatory requirements
Experience with automated testing using Playwright, performance testing, code reviews, and CI/CD practices
Must be able to work on-site at an approved location at least three days per week
Not eligible for visa sponsorship

Benefits

Comp & perks

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
Incentive opportunities may be available