Visa-posted 3 days ago
Full-time • Entry Level
Hybrid • CO, CO
Credit Intermediation and Related Activities
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As a New College Graduate Software Engineer at Visa, you will join one of our technology organizations, working on impactful projects that power the future of digital payments. Your specific assignment will be based on your skills, interests, and team needs, giving you the opportunity to learn, grow, and contribute from day one.

  • 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.
  • Less than 6 months of relevant work experience with either Bachelor's or Master's degree in Computer Science, Computer Engineering, CIS/MIS, Cybersecurity, Business or a related field, graduating May 2025 - August 2026.
  • 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.
  • Medical
  • Dental
  • Vision
  • 401 (k)
  • FSA/HSA
  • Life Insurance
  • Paid Time Off
  • Wellness Program
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