Sr. Software Engineer

About VGS VGS is the world's leader in payment tokenization, trusted by the most innovative AI and Fortune 500 companies, merchants, banks, and fintechs to power modern payments and agentic commerce. We tokenize over 9 billion tokens and process more than 10 billion monthly interactions, touching a third of all e-commerce. That scale isn't incidental. It's why leading companies embed our universal token vault and credential management platform directly into their stack, taming the complexity of payment data so they can move faster. We’re helping businesses unlock new possibilities in an industry that never stops moving. And that takes exceptional people. Trusted Engineering That Matters Engineering at VGS Our vision is clear: VGS is building the platform powering agentic commerce and global payments infrastructure. VGS Engineering is the pillar that supports that vision. We create a platform that is an indispensable, ubiquitous component of our partners' payments and security infrastructure. To achieve this, we build and operate high-scale, reliable, and resilient systems that manage mission-critical payment data across the globe. We don't just participate in the payments ecosystem; we power it. Our Environment & Culture Tooling as Leverage for Impact: We value speed and impact. To ensure nothing slows you down, we arm you with a highly consistent modern stack (e.g. AWS, Kubernetes, Java, TypeScript, Python) and world-class AI-augmented SDLC tooling. We strip away the friction so you can focus on building simple things that work, pushing boundaries, and delivering value faster. Impact Over Input: Scaling global payments infrastructure requires individuals who take personal ownership of outcomes from day one. We look for builders who combine high agency with deep strategic alignment; channeling their urgency and relentless iteration into what matters most. Leading from the front means multiplying the impact of those around you so we win collectively. Mission-Critical Accountability: We power payments infrastructure for global market leaders, making system trust and integrity our core deliverable. We don't treat compliance (PCI, SOC2, ISO27001), security patching, and platform maintenance as administrative overhead—we engineer them with first-class product discipline. We apply the same rigor, roadmap thinking, and speed to system health as we do to new features. In high-scale payments, reliability isn't background work; it is our product. Learn More: See how our engineering practices drive trust and innovation in our official blog and our reliability practices . About the Role We’re looking for a Senior Developer to help design, build, and scale the systems that power our platform. You’ll primarily work with Java, Spring Boot, AWS, and Kubernetes , building high-performance, event-driven microservices and cloud-native solutions. This is a hands-on role where you’ll solve complex technical challenges, contribute to architecture and design decisions, and help improve the scalability, reliability, and performance of our systems. You’ll also collaborate across teams, participate in code reviews, and mentor other engineers as we continue to grow and evolve our platform. What You'll Do Architect and build high-performance, event-driven microservices using Java Spring Boot Design and optimise cloud-native data pipelines and integrations with cloud data warehouses (e.g. Amazon Redshift) Managing containerise workloads on AWS with Kubernetes, ensuring high availability and scalability Implement robust observability using Grafana and Prometheus to monitor system health and performance Participate in code reviews, mentoring junior engineers, and collaborating with cross-functional teams What You Bring 10+ years of professional experience in software development with relevant technologies Strong proficiency in Java and the Spring Boot ecosystem Hands-on experience with AWS services and Kubernetes orchestration Experience designing and working with event-driven architectures (Event Bus, Kafka, or similar) Familiarity with cloud data warehouses such as Amazon Redshift or equivalent Proven ability to build and maintain observability stacks using Grafana and Prometheus Strong background in Computer Science, distributed systems, and software engineering principles Excellent problem-solving skills and attention to detail Ability to work effectively in a hybrid work environment Python experience is a plus Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field curity as a fundamental engineering constraint, not an afterthought. Nice to Have: Experience with tokenization, payment processing, cryptology, or security products BA/BS degree A knack for out-of-the-box thinking that thrives in a fast-paced startup environment