Tech Lead - SWE Engineer

Company Description

Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid.

At Visa, you'll have the opportunity to create impact at scale — tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters — to you, to your community, and to the world.

Progress starts with you.

Currency cloud was acquired by Visa in December 2021. Our Senior Software Engineers are responsible for implementing an industry-leading API that has already processed over 50 billion USD of cross‑border transactions for over 5 million end users, and is available to our clients 24x7. But we’re not stopping there, and our engineers are at the forefront of taking us forward to meet the demands of even greater scale.

Our Realtime Data Platform Team is a newly formed group focused on enabling and supporting real‑time data capabilities across the organization. This team provides foundational services such as Apache Kafka, Kafka Connect, Apache Flink, and other streaming technologies, as well as promoting Event‑Driven Architecture (EDA) principles that power real‑time applications and data flows.

As a Tech Lead, you’ll own the technical vision for the Realtime Data Platform Team. You will define and drive the architecture for shared services that enable real‑time data capabilities across the organization. This is a hands‑on leadership role where you’ll lead technical strategy, mentor engineers, and ensure alignment with organizational standards. Beyond delivery, you’ll influence how other teams adopt event‑driven principles and modern streaming practices, acting as a trusted technical authority across domains.

Our stack runs on AWS as a set of distributed applications using Kubernetes and a microservice‑led architecture. We are also utilizing Kafka for our streaming and PACT for Contract testing.

What you'll get to do

• Own the technical vision and roadmap for real‑time data services, ensuring they are robust, performant, and easy to consume by other teams.
• Lead design and implementation of streaming solutions using Kafka, Flink, and related technologies.
• Collaborate with product and engineering teams to understand requirements and deliver platform capabilities that accelerate their development.
• Drive best practices for observability, reliability, and scalability in distributed systems.
• Mentor and support engineers within the team, fostering a culture of technical excellence and continuous improvement.
• Act as an evangelist for event‑driven architectures – implement them, communicate their benefits, and champion adoption across the organization

You'll get

• Clear ownership of technical vision and architectural standards for a critical domain.
• Opportunity to influence and shape a new team from the ground up.
• A modern tech stack and autonomy to innovate.
• Strong organizational support and visibility for your work.

Our Tech Stack includes

• Object‑oriented programming forms the bulk of our codebase, currently in Java, versions 11+, and ideally Springboot framework
• Highly‑scalable, highly‑available, cloud‑native applications on AWS are key to our next phase of growth, are written to 12‑factor principles and fit into our microservices architecture
• Cloud‑related tools, services, and distributed system observability to support these applications, such as Docker, Kubernetes, Elastic Search, log management systems, and Datadog APM, to name but a few
• API specifications, conforming to the OpenAPI (Swagger) standard, provide a clean boundary both externally between our customers and our product, and internally between our microservices
• SQL, and large SQL databases, provide the persistence layer for our applications. You’ll be working with (and know the limitations of using) such large data stores
• Infrastructure automation is primarily owned by the infrastructure team, but you will be a consumer of their work, familiarity with AWS, Terraform and…