2 days ago
Base Salary
$112k - $173k/yr
Responsibilities
- Design, develop, and maintain full-stack features across React, JavaScript, TypeScript, Java, Spring Boot, and Node.js.
- Build and ship production agentic AI solutions using LLM-backed services, tool calling, multi-step agents, MCP, RAG, prompt and context engineering, evaluation harnesses, and safety guardrails.
- Apply AI-assisted development tools for code generation, refactoring, testing, review, debugging, and documentation.
- Design, build, and consume secure REST APIs and microservices for internal teams and external developer clients.
- Participate in system design, architecture, estimation, design documentation, and resolution of design issues.
- Create test plans and perform unit, integration, automation, and AI evaluation testing.
- Use debugging, observability, and developer tools to identify and resolve issues.
- Participate in code reviews, on-call support, production troubleshooting, and deployment of fixes.
- Mentor junior engineers and promote engineering best practices and responsible AI-first development patterns.
- Collaborate with product, design, data science, QA, operations, compliance, and other stakeholders.
Requirements
- At least 2 years of relevant work experience and a bachelor’s degree, or at least 5 years of relevant work experience.
- Hands-on professional experience building full-stack applications with Java and JavaScript.
- Experience with React, Spring Boot, Node.js, relational databases such as MySQL or PostgreSQL, and Linux.
- Demonstrated hands-on experience building and shipping agentic AI solutions using LLM APIs, tool or function calling, agent frameworks, or MCP integrations.
- Experience designing, building, and testing enterprise-scale web services and REST APIs.
- Ability to work across development, QA, automation testing, release validation, and production support.
- Preferred experience includes modern React and TypeScript front-end engineering, Spring Boot microservices, Spring Security, JPA/Hibernate, asynchronous systems, caching, and API versioning.
- Preferred production experience includes multi-agent orchestration, MCP server design, RAG, vector stores, embeddings, prompt engineering, structured output, streaming, AI evaluation, tracing, and controls for cost, latency, hallucination, and prompt injection.
- Experience with microservices, Kubernetes, Docker, cloud-native architectures, CI/CD environments, system design, debugging, code review, test automation, and production support.
- Experience with API security practices including OAuth 2.0, OIDC, mutual TLS, API keys, token lifecycle, rate limiting, and secure secret handling.
- Experience mentoring junior engineers, collaborating cross-functionally, creating technical documentation, and designing scalable and highly available systems.
- Preferred experience includes client-facing or developer-facing platforms, payments or fintech, regulated domains, and at least 3 years of work experience with a bachelor’s degree or an advanced degree with more than 2 years of experience.
Benefits
- Medical, dental, vision, 401(k), FSA/HSA, life insurance, paid time off, and wellness program eligibility.
- At least 3 days per week in the office, with exact expectations confirmed by the hiring manager.
- Travel required 5–10% of the time.
- Applications are accepted until at least November 30, 2026.
Tech Stack
Categories
About Visa
Visa builds and operates a global digital payments network that connects consumers, merchants, financial institutions, and governments. It earns fees for processing card transactions and offering risk, data, and value‑added services through VisaNet and products like tokenization and tap‑to‑pay. Founded in 1958 and headquartered in Foster City, California, Visa is a public company (NYSE: V) serving clients in more than 200 countries and territories.