Staff Software Engineer – Open Banking

Visa Visa · Fintech · Bengaluru, India, IN

Staff Software Engineer role at Visa's Open Banking team in Bangalore, focused on building an AI-first platform. The role involves leading design and implementation of new features, building high-performance APIs, co-developing with GenAI agents, operating in a DevOps model, and experimenting with Visa's AI models for API integration, anomaly detection, and intelligent automation. The engineer will also work on Open Banking integrations, cloud-native DevOps, and provide technical leadership and mentorship.

What you'd actually do

  1. Lead the design and implementation of new features and systems, ensuring it meets the highest standards of scalability, reliability, and performance
  2. Build high-performance, scalable APIs integrating with both documented and undocumented banking interfaces.
  3. Co-develop integrations / features side-by-side with GenAI agents to dramatically increase speed-to-market and code quality.
  4. Operate in a true DevOps model—owning build, deploy, and maintain responsibilities in the cloud.
  5. Continuously experiment with Visa’s rich portfolio of Generative AI models (transformers, LLMs, GANs, VAEs, multimodal models) and cutting-edge AI tools for production and innovation.

Skills

Required

  • Java
  • Node.js
  • JavaScript
  • AWS
  • Kubernetes
  • Docker
  • SQL
  • Datadog
  • prompt engineering
  • tooling orchestration for AI agents
  • transformers
  • GANs
  • VAEs

Nice to have

  • API integration
  • anomaly detection
  • intelligent automation
  • CI/CD pipelines
  • infrastructure-as-code
  • observability
  • technical leadership
  • mentorship

What the JD emphasized

  • AI-first
  • Generative AI agents
  • GenAI agents
  • Generative AI models
  • Generative AI
  • AI agents

Other signals

  • AI-first engineering team
  • Generative AI agents as development companions
  • AI-augmented approach to supercharge engineering lifecycle
  • Experiment with Visa’s rich portfolio of Generative AI models