Full Stack Software Engineer

Role

Responsibilities

• Build a high-throughput ecosystem that will support global user base to handle business critical operations.
• Design and deliver highly available, fault-tolerant distributed systems across multiple geographic regions, with architectures that maintain platform continuity, data sovereignty compliance, and consistent service levels across jurisdictions with differing regulatory requirements.
• Drive an AI-first engineering culture — embedding LLM tooling into both the platform and the team's day-to-day engineering practices to accelerate delivery velocity and raise the quality bar.
• Stay hands-on in design and code reviews, code quality checks, and technical decision-making — providing direct engineering guidance on microservices design, cloud-native deployment, distributed systems patterns, and API development.
• Partner with risk, compliance, and infrastructure teams to embed security controls, disaster recovery planning, and audit-ready practices across all operating regions — ensuring the platform meets regulatory obligations without compromising engineering agility.
• Collaborate and communicate with senior business and technology executives, while keeping focus on the engineering practices and delivery outcomes.

Required Skills, Knowledge & Experience

• 4+ years of software hands-on engineering experience to build enterprise-grade, high-traffic applications.
• Deep hands-on proficiency in Java, Spring Boot, with practical experience building microservices, APIs, and event-driven systems using Apache Kafka, IBM MQ or equivalent high-throughput messaging platforms.
• Fluency across the full engineering stack — front-end (ReactJS), back-end (Java, Spring), data stores (Oracle, MongoDB), and containerized cloud-native infrastructure (Kubernetes, Docker, OpenShift, public cloud).
• Expertise in CI/CD, test-driven development, and modern engineering tooling — including JUnit, JMeter, Mockito, Cucumber, Jenkins, and GitHub Actions — applied consistently to maintain engineering quality at scale.
• Experience in using AI coding assistants such as CoPilot, Devin, Claude Code or equivalent.
• Prior experience to build enterprise grade fast moving payment processing and liquidity management systems is highly desirable
• Demonstrated expertise designing and operating highly available, multi-region distributed systems — including active-active and active-passive topologies, data residency controls, disaster recovery strategies, and cross-jurisdictional regulatory compliance architecture.
• Experience operating in Agile delivery frameworks at enterprise scale, with a bias for continuous delivery and iterative value creation
• Motivated self-starter with the ability to quickly learn new skills and effectively navigate complex organizational structures.

Education

Primary Location Full Time Salary Range:

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Most Relevant Skills

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Automated Processing and AI