Lead Software Engineer

Visa Visa · Fintech · Bellevue, WA

Lead Software Engineer at Visa, focusing on designing, building, and testing software products for global payment technology. The role involves working on complex distributed systems, new payment flows, business and data solutions, cyber security, and B2C platforms. Essential functions include providing technical and functional knowledge of e-commerce platforms, leading meetings with product partners, formalizing programming language standards, piloting new technology capabilities, and analyzing bug patterns. Required skills include expertise in general development languages (Go, Java, C++, C#), experience building modern services, and knowledge of technologies like Kubernetes and Docker. The role also involves utilizing Generative AI models for code development and has a strong emphasis on observability, event-driven architecture, and distributed systems.

What you'd actually do

  1. Design code and systems that touch 40% of the world population while influencing Visa’s internal standards for scalability, security, and reusability
  2. Collaborate multi-functionally to create design artifacts and develop best-in-class software solutions for multiple Visa technical offerings
  3. Actively contribute to product quality improvements, valuable service technology, and new business flows in diverse agile squads
  4. Develop robust and scalable products intended for a myriad of customers including end-user merchants, b2b, and business to government solutions.
  5. Leverage innovative technologies to build the next generation of Payment Services, Transaction Platforms, Real-Time Payments, and Buy Now Pay Later Technology

Skills

Required

  • 10 or more years of work experience with a Bachelor’s Degree or at least 8 years of work experience with an Advanced Degree (e.g. Masters/ MBA/JD/MD) or at least 3 years of work experience with a PhD
  • Knowledge of and ability to develop back-end code (e.g. GO, C/C++, containers and gRPC) in support of platform development.
  • The ability to develop and apply Application Program Interfaces (APIs)
  • Experience with event-driven architecture and distributed systems, including hands-on work with Kafka or similar technologies.
  • Strong understanding of the entire software development lifecycle, including testing strategies, automation, deployment, and release strategies.
  • Deep expertise in observability, including monitoring, logging, and alerting.
  • experience developing cloud-ready components
  • Knowledge of and the ability to use database software
  • Knowledge of systems integration process
  • Knowledge of data structures

Nice to have

  • Kubernetes
  • Docker
  • MCPs
  • GAI: utilization of Generative AI models and software for code development
  • Knowledge of and ability to develop back-end code (e.g. GO, C/C++, containers and gRPC) in support of platform development. This includes the extension of capabilities of packages and products.
  • API Generation: The ability to develop and apply Application Program Interfaces (APIs), a set of routines, protocols, and tools for building software applications that specify how software components should interact and are used when programming graphical user
  • Architecture: Experience with event-driven architecture and distributed systems, including hands-on work with Kafka or similar technologies.
  • SDLC: Strong understanding of the entire software development lifecycle, including testing strategies, automation, deployment, and release strategies.
  • Observability: Deep expertise in observability, including monitoring, logging, and alerting.
  • Cloud Computing: experience developing cloud-ready components
  • GAI: utilization of Generative AI models and software for code development
  • Knowledge of and the ability to use database software (e.g., applications, web-based applications, information systems) to maintain, modify, and output data.
  • Knowledge of systems integration process in which separately produced components or subsystems are combined and problems in their interactions are addressed.
  • Knowledge of data structures, which consist of dat

What the JD emphasized

  • Expertise in one or more general development languages (e.g., Go, Java, C#, C++)
  • Deep expertise in observability, including monitoring, logging, and alerting.