Wells Fargo is seeking a Senior Software Engineer to design and deliver modern, scalable, and secure full-stack applications using Python and Angular. The role will contribute to building customer- and employee-facing platforms that integrate with enterprise services, enable automation, and support a risk-aware, compliance-driven operating environment.
This position is part of a technology team responsible for delivering features and services across the full SDLC—architecture, design, implementation, testing, deployment, and support—while partnering with product owners, architects, QA, and platform teams.
In this role, you will:
Required Qualifications:
Desired Qualifications:
Core technical skills
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 Angular (modern Angular versions), TypeScript, RxJS, and component-based UI design.
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) 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.
Job Expectations:
Good-to-have Backend / Python ecosystem
Async Python patterns (asyncio), background processing (Celery/RQ), caching (Redis), and message/event systems (Kafka/RabbitMQ).
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.
Front-end / Angular ecosystem
State management patterns (NgRx, signals, reactive forms), 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).
DevOps / Platform
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).
Modern engineering practices
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