About Letitbex AI
Letitbex AI is a fast-growing AI-driven technology company focused on building intelligent, scalable, and enterprise-grade solutions. We work at the intersection of AI, data engineering, cloud, and business transformation, helping organizations unlock real value from artificial intelligence.
Position: Senior Software Engineer
Experience: 10+ Years
Notice Period: Can be considered up 15 Days
Essential Skills
- Full-stack engineering: Strong hands-on proficiency in C#/.NET APIs, Services, Python 3.10 backend and ability to contribute effectively across both service stacks including development of Backend for Frontend(BFF) APIs
- Frontend design: Experience with Angular 18/TypeScript responsive workflows, reusable UI components, routing, state management, browser compatibility, error handling and component-level documentation; ability to collaborate effectively with UX specialists.
- API and integration engineering: Experience designing and consuming REST APIs and at least one real time communication using SignalR
- Data technologies: Experience with relational data in MongoDB, together with object storage such as MinIO
- Automated quality: Strong experience creating unit, component, integration, API and end-to-end tests, particularly with Playwright, and integrating tests into delivery pipelines.
- Diagnostics and support: Ability to diagnose issues across frontend code, backend services, APIs, data storage, logs, infrastructure, and deployment environments.
- Security: Strong knowledge in understanding of secure coding principles, authentication, authorization, token/session handling and cybersecurity expectations for enterprise product software.
- Technical leadership: Experience in code-review, mentoring, design-discussion and small-team coordination capability; strong ownership and autonomy.
- Collaboration tools: Effective use of Jira and Confluence for requirements, planning, defects, decisions and technical documentation.
Desired Skills
- Secure delivery pipeline: Experience with CI/CD automation, container-image creation, automated release processes, dependency and package management, vulnerability scanning, environment configuration and Software Bill of Materials (SBOM) generation.
- Exposure to Kubernetes basics: pods, services, probes, config maps ,logs, infrastructure, deployment environments.
- Knowledge in ELK, Prometheus and Grafana for diagnostics and operational visibility.
- Knowledge in Keycloak integration, role-based access control (RBAC), token handling, authentication flows and session lifecycle management.
- Exposure to scientific, electron-microscopy, medical-device, laboratory, industrial-instrumentation or other device-driven software.
