SW Engineer, Oracle ERP

Visa•Austin, TX

4d•$86,500 - $134,400•Hybrid

About The Position

Visa is seeking a versatile, curious, and energetic software engineer to help a cross-functional team design, build, and test applications supporting Corporate Finance processes and users. The role contributes to modernizing finance technology, improving operational efficiency, and supporting reliable financial operations across Visa. The engineer designs, develops, tests, and maintains backend services, APIs, and full-stack applications, as well as automation tools, platform capabilities, and internal systems for finance processes. The position works with Corporate Finance stakeholders and other teams to define requirements and deliver solutions, while contributing to architecture decisions, troubleshooting, production incident resolution, documentation, and continuous improvement of engineering quality and operations. This is a hybrid position, with the expected number of office days confirmed by the Hiring Manager. The work is performed in an office setting and requires travel 5–10% of the time. Work hours vary according to department needs.

Requirements

Bachelor’s degree or at least 3 years of relevant work experience.
Strong problem-solving skills and ability to learn new technologies quickly.
Strong written and verbal communication skills and ability to collaborate across teams.
Experience analyzing, designing, and programming computer applications.
Experience debugging and modifying software programs.
Experience writing and maintaining technical documentation.
Experience performing software testing and troubleshooting.
Experience collaborating with users or stakeholders, including finance or business teams, to gather requirements.
Experience developing or supporting installation and maintenance procedures.

Nice To Haves

One to two years of experience developing full-stack applications or backend services.
Familiarity with JavaScript, TypeScript, React, Angular, HTML, and CSS.
Experience building backend services or APIs with Java, Python, Node.js, Spring Boot, or similar technologies.
Knowledge of Oracle E-Business Suite R12 and hands-on SQL experience, particularly in Corporate Finance or enterprise finance applications.
Familiarity with generative AI, large language models, prompt engineering, and responsible AI practices.
Experience using AI-assisted development tools for coding, testing, documentation, debugging, or productivity.
Basic experience integrating AI capabilities through APIs, SDKs, or cloud-based services.
Ability to assess AI-generated outputs for accuracy, security, privacy, and appropriate use.
Interest in using AI and automation to improve engineering efficiency, finance application support, and operational processes.
Experience with AWS, Azure, or Google Cloud and understanding of cloud-native concepts.
Familiarity with automation, infrastructure, or platform engineering.
Experience with CI/CD pipelines, Git, containerization, or developer tools.
Basic understanding of reliability, monitoring, and debugging in distributed systems.

Responsibilities

Design, develop, test, and maintain backend services, APIs, and full-stack applications supporting Visa Corporate Finance.
Build and support automation tools, platform capabilities, and internal systems for finance processes and users.
Write clean, scalable, maintainable code using engineering best practices, including testing, code reviews, and CI/CD.
Partner with Corporate Finance stakeholders and cross-functional teams to define requirements and deliver high-quality solutions.
Improve the reliability, performance, and operational efficiency of finance applications and supporting systems.
Contribute to design and architecture decisions involving scalability, integrations, data flows, and system behavior.
Troubleshoot finance application and system issues, conduct root-cause analysis, and help resolve production incidents.
Support the development of cloud-native and distributed systems.
Document technical designs, implementation details, integrations, and system behavior.
Continuously improve engineering quality, observability, controls, and operational excellence.
Travel 5–10% of the time.