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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.
Job Responsibility:
Lead moderately complex initiatives and deliverables within the technical domain, including end‑to‑end ownership of features from design through production support
Design, code, test, debug, and document software solutions, including upgrades and deployments, ensuring maintainability and scalability
Evaluate and resolve moderately complex technical challenges requiring in‑depth analysis of technologies, patterns, and procedures
Build and maintain Python backend services (REST APIs, business workflows, integration services) and Angular UI experiences (responsive web apps, reusable components, performance‑optimized screens)
Collaborate with cross‑functional partners and act as an escalation point, providing guidance to less experienced engineers through code reviews, standards, and technical mentoring
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
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
Nice to have:
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
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)
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