Staff Software Engineer

Visa’s Technology Organization is a community of problem solvers and innovators reshaping the future of commerce.   We operate the world’s most sophisticated processing networks capable of handling more than 65k secure transactions a second across 80M merchants, 15k Financial Institutions, and billions of everyday people.Cross-border remittances and new business models (e.g., gig economy) require the ability to deploy rapid, frequent payouts. We are building a Technology Platform  that will enable fast and ubiquitous push payments across a range of domestic and cross border use cases aiming to capture significant revenue opportunity across P2P, B2SB, and B2C flows and value-added services. Built on the latest standards/tech stack  and providing open APIs, this platform will help drive innovation in the entire ecosystem.

We value creative and driven individuals  who love to own  their products, and design and implement solutions that create a seamless experience  for consumers and clients.  Our developers work across the stack, and are experts in service oriented architectures and technologies such as Java, Java EE, Spring, ORM, Oracle, DB2, Cassandra, React JS, Hazelcast, RabbitMQ, Kafka, Kubernetes and Docker.

As we embark on the journey to enhance the Visa Direct Payout Services technology platforms, we are looking for a Staff Software Engineer  who can participate in the detailed design and development activities for this product.

The role involves extensive hands-on activities. Here are key job responsibilities

• Understand the Payments industry and where Visa Direct Payout Services fits in the payment’s ecosystem

• Understand the business initiatives and their importance to the growth of Visa Direct Payout Services. 

• Develop a good understanding of the Visa Direct Payout Services technology platforms and the 3 rails of money movement – cards, accounts and wallets.

• Collaborate with product owners and technical staff globally to define requirements for new features and enhancements to the platform.

• Evaluate technical options and provide recommendation on scope and scale of effort required to develop an end-to-end solution.

• Manage  and mentor a team of talented engineers.

• Take ownership and lead the engineering responsibility for multiple components of the platform with a focus on security, high scalability (3000+ tps), and six nines of availability.

• Actively participate in defining architecture and creating solution documents consistently, be hands-on with low level design, writing code, code review, coding and unit testing activities.

• Coordinate engineering activities across the delivery of the project and work with engineers to ensure they are delivering efficiently and to high quality standards. Co-ordinate and influence business and technology partners spread across different regions to mitigate these risks.

• Encourage & ensure the team is utilize GenAI tools to enhance software development processes, including code generation, optimization, and testing.

• Collaborate with cross-functional teams to integrate AI solutions into existing systems and workflows.

• Ability to identify and manage risks at all stages of the project.

• Build a culture of engineering excellence within the team, drive adoption of practices like continuous integration, security, code reviews, code coverage, code quality and shift left practices.

• Identify opportunities for further enhancements and refinements to standards, processes and systems.

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

Basic Qualifications:
• 5+ years of relevant work experience with a Bachelor’s Degree or at least 2 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 0 years of work experience with a PhD, OR 8+ years of relevant work experience.
Preferred Qualifications:
• 5+ years of relevant work experience with a Bachelor’s Degree or at least 2 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 0 years of work experience with a PhD, OR 8+ years of relevant work experience.
• Delivered complex projects where complexity is a function of a combination of these factors – domain knowledge, distributed architecture, technical stack, influencing and collaborating with multiple technology partners and business partners
• Experience as a technical leader with ability to understand the requirements and independently, architect, design and resilient enterprise applications.
• Experience of leading an engineering team of 4-6 people is a plus
• Proficiency in Java 8 and later (Core Java, memory management, concurrency, functional programming) and experience with REST APIs, JSON and exposure to container based technologies.
• Strong understanding of generative AI models and tools, such as GPT, Llama, and Anthropic etc., and using MCP (Model Context Protocol)
• Familiarity with GenAI tools such as GitHub copilot, ChatGPT, Claude, Copilot for Microsoft 365, and other relevant platforms
• Experience with Agile development incorporating Continuous Integration and Continuous Delivery, utilizing technologies such as GIT, Maven, Jenkins, Chef, Sonar, Clover, JUnit, Mockito.
• Experience with shift left practices and performance testing applications.
• Collaborate with security team to implement and verify secure coding techniques.
• Passion to work with people and help mentor your team to reach new heights.
• Experience in the Payment domain is a plus.

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.