This list contains only the countries for which job offers have been published in the selected language (e.g., in the French version, only job offers written in French are displayed, and in the English version, only those in English).
10Pearls is seeking a Senior Full Stack Engineer to build and scale interactive dashboard applications for our multi-tenant enterprise analytics platform. This role sits at the intersection of high-performance data systems and modern frontend engineering, focused on delivering secure, scalable, and production-grade analytics solutions for financial services clients.
Job Responsibility:
Design and build secure, scalable dashboard applications for a multi-tenant analytics platform using React
Develop high-performance APIs using Golang to serve complex financial and enterprise datasets
Design and implement interactive data visualizations using React and TypeScript
Build and maintain multi-tenant architectures with strict data isolation and access controls
Optimize PostgreSQL queries, indexing strategies, and database performance
Implement authentication and authorization frameworks (OAuth2, OIDC, RBAC, SSO)
Develop real-time data update mechanisms and caching strategies (e.g., Redis or in-memory caching)
Ensure adherence to secure coding standards aligned with OWASP and industry compliance frameworks
Establish and maintain CI/CD pipelines using GitHub Actions
Collaborate closely with Data Engineers to integrate analytics pipelines and ML-driven features
Participate in agile development cycles with strong emphasis on code quality, testing, and performance optimization
Requirements:
3+ years of hands-on experience in Golang with API development
3+ years of experience with React.js and TypeScript in production environments
Proven full-stack experience building complete SaaS applications end-to-end (Mandatory)
Strong expertise in PostgreSQL, database design, and query optimization
Experience designing multi-tenant SaaS platforms with secure data isolation
Solid understanding of RESTful API design and microservices architecture
Strong knowledge of authentication mechanisms (JWT, OAuth2, RBAC) and security best practices
Experience with Azure cloud infrastructure, Docker, and Kubernetes
Familiarity with CI/CD pipelines and automated testing strategies
Financial Services domain experience (Mandatory)
Expert level user of Gen AI Dev tools like Cursor, Claude Code
Nice to have:
Experience integrating ML models or working alongside data science teams
Exposure to Python for analytics or ML integrations
Experience building enterprise analytics dashboards or reporting platforms
Understanding of compliance frameworks such as SOX, PCI-DSS, or GDPR
Experience contributing to scalable SaaS or white-labeled enterprise products