Lead SW Engineer (15+ years exp, Java, Spring Boot, Cloud, GenAI)

Company Description

Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid.

Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa.

Job Description

As a Lead Software Engineer on our Value Added Services Team, you will help design, enhance, and build our NextGen Platform within an agile development environment. You will collaborate with a talented group of engineers on multiple projects, building highly functional, distributed, secure, scalable, and resilient real-time infrastructure, REST APIs, and container-based services. Our self-managed agile teams own products end-to-end, emphasizing unit testing, code reviews, and continuous integration to ensure superior code quality. The solutions you build will be used by leading global clients such as Facebook, Nike, FedEx, and Apple. If you are excited by the opportunity to work in a dynamic environment and shape industry-leading products, we’d love to connect.

Responsibilities:

• Collaborate with clients to understand requirements and deliver solutions that drive business value.
• Leverage technologies like Java, REST, and NoSQL to develop next-generation payment infrastructure services.
• Architect, design, and implement core components of our global transaction processing systems.
• Provide technical leadership and mentorship to engineering teams.
• Lead meetings and discussions with both technical and non-technical stakeholders.
• Demonstrate strong leadership, interpersonal, and collaborative skills.

Technical Expertise Requirements: 

• Extensive platform engineering experience with Java, microservices, APIs, and enterprise systems.
• Deep experience with cloud platforms (AWS, GCP, Azure) and container orchestration (Docker, Kubernetes).
• Expertise in scalable architecture patterns for web and omni-channel applications.
• Strong background in distributed systems, service registry, container architecture, caching, streaming, NoSQL/RDBMS, and reactive programming.
• Solid understanding of DevOps, deployment, and capacity planning.
• Experience with enterprise integrations and RESTful APIs.
• Familiarity with security best practices and contemporary security trends.
• Python experience for AI/ML and backend services is a plus.
• Experience leading end-to-end delivery of major cloud platform features.

GenAI, Prototyping and Modern Development Practices:

• Proven hands-on experience building applications with Agentic AI frameworks (e.g., LangChain, LangGraph, Autogen) and foundational models (e.g., OpenAI, Anthropic, Gemini).
• Demonstrated ability to rapidly build and iterate on GenAI prototypes and Minimum Viable Products (MVPs).
• Strong practical knowledge of prompt engineering, Retrieval-Augmented Generation (RAG) architectures, and vector databases (e.g., Pinecone, Weaviate, Chroma).
• Experience in designing and implementing GenAI automation solutions to improve internal workflows and developer productivity.
• Expertise in modern software development workflows, including mandatory hands-on experience with AI coding assistants (e.g., GitHub Copilot, Aider, Cline).
• Strong understanding of CI/CD principles and experience building automated deployment pipelines for AI/ML applications.
• Commitment to software engineering best practices, including version control (Git), code reviews, and comprehensive testing strategies.

Nice to Have:

• Domain experience in Payment & Fraud management technologies
• Experience in Data Analytics and tools such as Hadoop, Spark etc.
• Familiarity with Model Context Protocol (MCP) or similar standards for managing state and context in complex LLM applications is a strong plus.
• Understanding of MLOps principles as they apply to the lifecycle of GenAI models and applications.

This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.

Qualifications

Qualifications

• 15+ years of relevant work experience with a Bachelor’s Degree or with an Advanced degree 
• Experience in commercial software development on Unix/Linux environment.
• Deep experience with cloud platforms (AWS, GCP, Azure) and container orchestration (Docker, Kubernetes).
• Extensive platform engineering experience with Java, Microservices, APIs, and enterprise systems.
• Experience with enterprise integrations and RESTful APIs.
• Expertise in GenAI tooling & automation
• 5+ years in a technical leadership role
• Hands-on understanding of architecture and operations of highly available and scalable web services.
• Experience with agile development process
• Desired experience instrumenting web applications for performance benchmarking

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.