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Wells Fargo

Senior Software Engineer

Reposted 5 Hours Ago
Be an Early Applicant
Hybrid
Bengaluru, Bengaluru Urban, Karnataka
Senior level
Hybrid
Bengaluru, Bengaluru Urban, Karnataka
Senior level
About this role
  • 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
  • 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.

Required Qualifications:
  • 4+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education

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.

Top Skills

Angular
Django
Docker
Fastapi
Flask
Github Actions
Jenkins
Kafka
Kubernetes
Ms Sql Server
Openapi
Openshift
Oracle
Postgres
Pytest
Python
RabbitMQ
Redis
Rxjs
SQL
Sqlalchemy
Swagger
Terraform
Typescript

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