Software Engineer

Visa•Denver, CO

12d•$86,500 - $134,400•Hybrid

About The Position

Visa is seeking a Software Engineer to design, develop, test, and maintain secure, scalable applications, services, and platform capabilities. The role combines application and backend engineering with AI-enabled solutions intended to improve developer productivity, testing, release automation, and engineering self-service. The engineer works hands-on with code, APIs, data, cloud services, automation frameworks, and AI-assisted development tools. The role partners with product, engineering, QA, security, infrastructure, and operations teams to deliver reliable solutions. Work follows engineering standards, security requirements, and applicable regulatory expectations. The position requires at least three days in the office, with the specific days confirmed by the Hiring Manager. The posting is open until December 21, 2026. Visa is not offering relocation or immigration assistance for this role.

Requirements

Bachelor’s degree or at least 3 years of relevant work experience.
At least 2 years of work experience.
At least 2 years of experience in technologies, software systems, application development, platform engineering, or a directly related field.
At least 2 years of experience developing and/or implementing web-based applications, backend services, RESTful APIs, or service integrations.
Experience debugging software issues, participating in code reviews, applying coding standards, and using developer tools for code creation and maintenance.

Nice To Haves

Experience with AI-enabled software solutions, such as LLM integrations, AI-assisted workflows, automation, or agentic frameworks.
Experience building, testing, deploying, and supporting enterprise-scale frontend, backend, web, or platform services.
Experience developing backend applications using Java, Python, Go, JavaScript/TypeScript, or similar languages.
Experience with developer platforms, CI/CD, test frameworks, release automation, cloud services, databases, APIs, systems integration, and observability tools.
Familiarity with AI/LLM patterns such as RAG, prompt engineering, tool/API integration, agentic workflows, evaluation, security controls, and human oversight.

Responsibilities

Design, develop, test, deploy, and maintain web applications, backend services, APIs, integrations, and reusable platform components.
Build developer enablement solutions, including CI/CD integrations, test automation, release automation, and engineering self-service capabilities.
Develop AI-enabled solutions, such as code and test assistance, knowledge retrieval, workflow automation, and agentic frameworks.
Participate in technical design, code reviews, debugging, production support, and continuous improvement of reliability, performance, and security.
Collaborate with stakeholders to translate requirements into practical technical solutions and identify risks, dependencies, and delivery concerns.