Senior Software Engineer

Visa Visa · Fintech · Reading, United Kingdom, United Kingdom

Senior Software Engineer for Visa's Product Reliability Engineering team, focusing on building agentic solutions and deep learning models for real-time transaction reliability at scale. The role involves designing, building, and testing software products that operate globally to predict and prevent reliability challenges in fintech transactions.

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

  • Expertise in anyone programing language (e.g., Java, C#, C++, GO, Python, Scala, Java scripts, .Net)
  • Experience building and deploying modern services and web applications with quality and scalability
  • Experience collaborating with Product, Test, Dev-ops, and Agile/Scrum teams
  • Bachelor’s Degree or an Advanced Degree (e.g. Masters, MBA, JD, MD, or PhD) in Computer Science, or related technology/engineering discipline.

Nice to have

  • Experience in developing agentic solutions using Cline, Claude, GitHub Copilot, Power Automate etc.
  • Experience in Software Development with Agile and full SDLC using programming languages such as (e.g., Java, GO, Python, Scala, Java scripts, .Net) etc.
  • Development experience in building and using Microservices with HTTP, REST, JSON.
  • Experience with a Relational database and/or NoSQL database.
  • Proficient in GIT/Stash, Maven and Jenkins.
  • Experience with streaming platform like Kafka.
  • Experience with tools development, automation (CI/CD, Auto Deployment, System Availability, etc.), logging and monitoring.
  • Experience with large scale data analytics and statistical modelling.
  • Strong analytical, problem solving and communication skills.

What the JD emphasized

  • agentic solutions
  • Deep Learning solutions
  • real time reliability challenges
  • predict and prevent real time reliability challenges

Other signals

  • building agentic solutions
  • deep learning solutions using AI/ML platforms
  • real time reliability challenges
  • predict and prevent reliability challenges