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Job Details
As a Software Engineer in this team, you will:
- Build high-performance, scalable APIs integrating with both documented and undocumented banking interfaces.
- Co-develop integrations / features side-by-side with GenAI agents to dramatically increase speed-to-market and code quality.
- Operate in a true DevOps model—owning build, deploy, and maintain responsibilities in the cloud.
- 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.
- Deliver new features on a rapid cadence (every few days).
What You Will Do
- AI-Powered Development
- Partner with GenAI agents for code generation, refactoring, and automated testing.
- Experiment in Visa’s AI sandbox, where multiple GenAI models and frameworks are available for employee-driven innovation.
- Open Banking Integrations
- Build components integrating with banks’ APIs to aggregate and enrich consumer financial data.
- Handle high-load systems with stringent uptime requirements.
- Work with Visa’s Tink technologies stack: Java, Node.js, JavaScript, AWS, Kubernetes, Docker, SQL, Datadog and much more.
- Cloud-Native DevOps
- End-to-end delivery: build, deploy, monitor, and maintain services in AWS/Kubernetes/Docker environments.
- Implement CI/CD pipelines, infrastructure-as-code, and automated observability using Datadog and related tooling.
- Participate in on-call rotations to ensure high availability and operational excellence.
- Collaboration
- Work alongside like‑minded engineers and contribute to AI-first engineering culture—sharing learnings from model experimentation.
This is a hybrid position. Expectation of days in the office will be confirmed by your Hiring Manager.
Qualifications
Basic Qualifications
Bachelor degree in Computer Science or related field and at least 6 months-2 years of Software Development Experience or a Masters with at least 0-2 years of Software Development Experience.
Proven experience working with Java technologies
Experience with Generative AI:
Understanding / application of NLP, multimodal AI, and AI-powered developer tools in production systems.
Exposure to prompt engineering and tooling orchestration for AI agents in enterprise environments, ensuring reproducibility and compliance.
Experience with cloud-native DevOps:
AWS, Kubernetes, Docker, CI/CD pipelines, infrastructure-as-code
Experience in agile product-centric environments.
Preferred Qualifications
Operational excellence & incident response experience.
Financial API integration experience.
Additional Information
Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.
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