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.

Desired Candidate Profile

• 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.