Sr. SW Engineer

Visa•Bellevue, WA

3d•$110,700 - $171,800•Hybrid

About The Position

The Senior Software Engineer designs, builds, and supports secure, scalable solutions for Visa’s Acceptance Solutions platform, with a focus on transaction processing platforms. This hands-on role involves 60–75% coding and collaboration with cross-functional teams to deliver reliable technology solutions using Generative AI and modern cloud-native practices. The role requires at least three days in the office, with the specific in-office expectations confirmed by the Hiring Manager. Work hours vary according to department needs, and travel is required 5–10% of the time. The position is performed in an office setting. It requires sitting and standing at a desk, communicating in person and by telephone, and frequently operating standard office equipment such as telephones and computers.

Requirements

At least 2 years of relevant work experience and a bachelor’s degree, or at least 5 years of relevant work experience.
Experience in software engineering, technology delivery, or a directly related field.
Experience designing, building, and supporting APIs, web services, microservices, or enterprise integration services.
Experience in a technical leadership role, with or without direct reports.
Proficiency in one or more modern programming languages: Java, Python, JavaScript, TypeScript, Go, or Kotlin.
Strong experience with API-first design, REST, OpenAPI, JSON, webhooks, and event-driven architecture.
Experience with cloud platforms such as AWS, Azure, or GCP, as well as Docker, Kubernetes, and infrastructure as code.
Experience with system design, architecture, debugging, troubleshooting, and production support.
Experience collaborating with cross-functional teams to deliver secure and scalable solutions.
Ability to use AI-assisted tools such as GitHub Copilot, ChatGPT, or agentic AI, and establish safe AI practices.
Deep understanding of web application development and modern frontend frameworks.
Experience with React, Angular, Vue.js, or similar frontend technologies.
Expertise in responsive design and mobile-first development.
Knowledge of UI/UX design principles and accessibility standards.

Nice To Haves

At least 3 years of work experience with a bachelor’s degree, or more than 2 years of work experience with an advanced degree such as a master’s, MBA, JD, or MD.
Experience building enterprise-scale distributed systems, APIs, or integration platforms.
Experience with event-driven architecture using Kafka, message queues, event streaming, or workflow orchestration.
Experience with authentication and authorization technologies such as OAuth 2.0, OpenID Connect, JWT, SAML, mTLS, or IAM.
Experience with observability and reliability tools and practices such as Splunk, Datadog, Grafana, OpenTelemetry, and SLOs.
Experience with automated testing, contract testing, performance testing, and API certification.
Experience in product development within regulated industries such as fintech, payments, or banking.
Experience implementing Generative AI, agentic AI workflows, RAG, or intelligent automation.
Experience mentoring engineers and driving engineering standards across teams.
Experience with PCI-DSS, SOX, or financial services compliance requirements.
Experience with white-labeling and multi-tenant applications.
Understanding of portal architecture and self-service platforms.
Experience with authentication flows such as SSO, OAuth, or SAML.
Knowledge of internationalization and localization.
Experience with design systems and component libraries.
Understanding of merchant and acquirer workflows in payments.

Responsibilities

Design, build, and support secure, scalable solutions for Visa’s Acceptance Solutions platform, focusing on transaction processing platforms.
Deliver reliable technology solutions in collaboration with cross-functional teams.
Perform hands-on software engineering, with 60–75% of the role involving coding.
Use Generative AI and modern cloud-native practices in software delivery.
Design, build, and support APIs, web services, microservices, or enterprise integration services.
Provide technical leadership, mentor engineers, and drive engineering standards across teams.
Support production systems, including system design, debugging, troubleshooting, and production support.
Use AI-assisted tools and establish safe AI practices.