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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
Support Wells Fargo’s emphasis on risk management and compliance, including adherence to policies, controls, and timely escalation/remediation of issues
Requirements:
4+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
7+ years of Strong hands‑on experience building backend systems in Python (e.g., FastAPI / Django / Flask) with well‑structured APIs and domain logic
Strong hands‑on experience building front‑end applications using React (modern Angular versions), TypeScript, RxJS, and component-based UI design
Build and maintain Python backend services (REST APIs, business workflows, integration services) and React UI experiences (responsive web apps, reusable components, performance‑optimized screens)
Experience implementing RESTful APIs, API versioning, input validation, pagination, and error standards
familiarity with OpenAPI/Swagger
Proficiency with SQL (e.g., PostgreSQL, MS SQL Server, Oracle, Mongo Db) and data modeling
working knowledge of ORM patterns (e.g., SQLAlchemy/Django ORM)
Solid understanding of testing and quality practices: unit tests, integration tests, mocking, test automation (e.g., pytest, Angular testing utilities)
Knowledge of secure software engineering: authentication/authorization (OAuth2/OIDC), secrets management, OWASP principles, and secure coding practices
Nice to have:
Async Python patterns (asyncio), caching (Redis), and message/event systems (Kafka/Solace)
Observability and reliability: structured logging, tracing (OpenTelemetry), metrics (Prometheus/Grafana), and SRE-friendly production readiness
Performance tuning and profiling
API scalability patterns
familiarity with 12‑factor and cloud-native design
Micro-frontend concepts, and modular UI architecture
E2E and UI automation testing (Cypress / Playwright) and component testing strategies
Accessibility (WCAG), i18n, and performance optimization (lazy loading, bundle analysis)
CI/CD and pipeline engineering (e.g., GitHub Actions, Jenkins), containerization (Docker), orchestration (Kubernetes/OpenShift), and Helm
Infrastructure-as-code and environment automation (Terraform), plus secure SDLC practices (SAST/DAST, dependency scanning)
API gateway patterns, service-to-service security, feature flags, blue/green or canary releases
Experience using AI‑assisted development tools (e.g., Copilot-style tooling) responsibly to improve productivity and code quality
Familiarity with Large Language Model (LLM) ecosystems, including prompt engineering, Retrieval-Augmented Generation (RAG), and Model Context Protocols (MCP)