Full Stack Developer

• Build features end-to-end across backend and frontend, designing, implementing, testing, and shipping changes that span the full stack. • Develop backend services in Java/Spring Boot or Python (with Temporal workflows), exposing clean, well-documented REST APIs. • Build user-facing interfaces in React, with attention to usability, accessibility, and performance. • Model and query data across MySQL NDB Cluster, MariaDB Galera, and PostgreSQL, writing efficient and correct SQL. • Integrate with payment partners and internal services, handling retries, timeouts, and idempotency correctly so money movement stays consistent. • Write tests and review code, keeping quality high and regressions out of production. • Collaborate across teams by picking up work from Jira, documenting in Confluence, and working with Product, QA, Support, and DevOps from first ticket to release. • Monitor and troubleshoot what you ship using Grafana, Prometheus, and ELK, and fix issues at the root. • 6+ years building and shipping production web applications as a fullstack developer (or a strong backend developer with solid frontend experience). • BSc in Computer Science or a related field. • Strong backend experience in Java or Python, building RESTful APIs and microservices. • Solid frontend experience with React (TypeScript, HTML, CSS). • Proficient in SQL and comfortable working across relational databases. • Good understanding of distributed systems, microservices, and RESTful architectures. • Experience with Git-based workflows and CI/CD pipelines. • Comfortable with containers and Kubernetes-based deployment. • Analytical mindset and strong troubleshooting skills across the full stack; able to isolate problems and propose next steps. • Excellent written and verbal English to collaborate effectively with QA, Support (non-technical), and Engineering (technical) teams. • Experience in fintech, payments, wallets, or another regulated, high-availability transactional domain. • Familiarity with Temporal (or a similar workflow-orchestration engine) and event-driven systems such as Kafka. • Awareness of secure handling of sensitive customer and financial data.