Sw Engineer

Visa Visa · Fintech · Singapore

Software Engineer to build agentic solutions using LLMs and AI-ML platforms for real-time transactions at Visa's global scale, focusing on product reliability engineering.

What you'd actually do

  1. Build Agentic Solutions using world’s most advanced LLM models from Anthropic, OpenAI and others
  2. Build Deep Learning solutions using AI-ML Platforms for real time transactions at a scale of 100K+ TPS and for peta bytes of Data.
  3. Design code and systems that touch 40% of the world population while influencing Visa’s internal standards for scalability, security, and reusability
  4. Collaborate multi-functionally to create design artifacts and develop best-in-class software solutions for Visa’s commercial products and services.
  5. Actively contributes to product reliability improvements, valuable service technology, and new operations flows in diverse agile squads

Skills

Required

  • Software Development with Agile and full SDLC
  • programming languages such as (e.g., Java, GO, Python, Scala, Java scripts, .Net)
  • Microservices with HTTP, REST, JSON
  • Relational database and-or NoSQL database
  • GIT-Stash, Maven and Jenkins
  • streaming platform like Kafka
  • tools development, automation (CI-CD, Auto Deployment, System Availability, etc.), logging and monitoring
  • large scale data analytics and statistical modelling
  • analytical, problem solving and communication skills

Nice to have

  • coding with GenAI
  • new backend, front-end, test and devops technologies
  • coding with GenAI

What the JD emphasized

  • agentic solutions
  • LLM models
  • AI-ML Platforms
  • real time transactions
  • global scale
  • reliability of 99.9999% and beyond

Other signals

  • agentic solutions
  • LLM models
  • AI-ML Platforms
  • real time transactions
  • global scale