Sw Engineer

Visa Visa · Fintech · Singapore

Software Engineer at Visa focusing on Commercial Money Movement Solutions. Responsibilities include writing optimized code, developing end-to-end solutions, troubleshooting, contributing to system design, and building internal tools. The role requires experience with various programming languages and frameworks, and exposure to Gen AI tools, LLMs, prompt engineering, ML models, MLOps, cloud technologies, and software testing principles.

What you'd actually do

  1. Write optimized, secure and scalable code that also follows best practices such as unit testing and peer reviews.
  2. Formulate creative solutions to solve problems that meet the objectives of both the product roadmap and technology roadmap.
  3. Participate in and develop end-to-end technology solutions that solve our business needs.
  4. Work closely with multiple stakeholders in a cross-functional organization within an Agile environment.
  5. Build and improve internal tools to enhance developer productivity and system monitoring

Skills

Required

  • Bachelor's degree, OR 3+ years of relevant work experience
  • 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.
  • Familiarity with AWS, MySQL, PowerBI
  • 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

Nice to have

  • Knowledge or Experience using Gen AI tools (GPT, Copilot, OpenAI, Gemini, etc.)
  • Exposure to emerging and cloud technologies
  • 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