Staff SW Engineer

Visa s Technology Organization as the world s leader in digital payments technology, Visa s mission is to connect the world through the most creative, reliable and secure payment platform - enabling individuals, businesses, and economies to thrive.

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 the office will be confirmed by your Hiring Manager.

Bachelor degree in Computer Science or related field with a minimum of 8+ years of Software Development Experience or a Masters in Computer Science or related field with a minimum of 7+ years of Software Development 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