Job Description And Responsibilities

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As a Software Engineer at Visa, you will join our Commercial Money Movement Solutions technology organization, working on impactful projects that power the future of digital payments.

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Some job duties and projects could include:

• Write optimized, secure and scalable code that also follows best practices such as unit testing and peer reviews.
• Formulate creative solutions to solve problems that meet the objectives of both the product roadmap and technology roadmap.
• Participate in and develop end-to-end technology solutions that solve our business needs.
• Work closely with multiple stakeholders in a cross-functional organization within an Agile environment.
• Troubleshoot and debug software applications, identifying root causes and implementing effective solutions
• Contribute to the design and architecture of systems that meet high availability, performance, and security requirements
• Build and improve internal tools to enhance developer productivity and system monitoring

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Remember, at Visa, we see our employees as our most valuable asset and we are excited to support and witness your growth within our organization.

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This is a hybrid position. Expectation of days in the office will be confirmed by your Hiring Manager.

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Qualifications

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Basic Qualifications

‍Bachelor's degree, OR 3+ years of relevant work experience

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Preferred Qualifications

‍Proficiency in at least one programming language or technology including, but not limited, to Java, C/C++, C#, .NET, Python, Javascript, HTML, Golang
Experience with Write utilities / automation tools using Selenium, Java, REST, Python, Groovy, Ruby, and more
Experience with front-end frameworks including, but not limited to, Angular, React, Vuejs, etc.
Knowledge or Experience using Gen AI tools (GPT, Copilot, OpenAI, Gemini, etc.)
Exposure to emerging and cloud technologies: Familiarity with AWS, MySQL, PowerBI
Exposure or experience in fine-tuning, integrating LLM(e.g., GPT, LLaMA)
Knowledge of prompt engineering and scalable LLM architectures
Knowledge or experience with ML models with MLOps activities
Familiarity with software testing principles
Solid understanding of software engineering concepts and methodologies
Document process, designs, test results, and analysis
Lead root cause analysis and track defect resolution to completion
Review and provide feedback on development code, test designs and test cases
Communicate status frequently to project stakeholders
Strong communications skills, specifically, the absence of repeated grammatical or typographical errors, clear and concise written and spoken communications, and communications that demonstrate professional judgment
The ability to take on challenges and address problems head-on
Strong ability to collaborate
Highly driven, resourceful and results oriented
Good team player and excellent interpersonal skills
Good analytical and problem-solving skills
Demonstrated ability to lead and navigate through ambiguity

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