
Software Infrastructure Specialist
2 days ago
Job Overview
Lorien Finance is building the next-generation financial infrastructure for global education. We help students from emerging markets access study-abroad opportunities through intelligent lending, automation, and full-stack support.
This is an exciting opportunity to work on high-impact projects, design scalable systems, and contribute to the development of a cutting-edge platform.
As a Backend Engineer at Lorien Finance, you will:
- Design, build, and maintain scalable backend systems using Golang, Python, and JavaScript/TypeScript.
- Collaborate with cross-functional teams including front-end developers, product managers, and QA engineers.
- Write clean, efficient, and maintainable code that adheres to best practices.
- Optimize and troubleshoot backend systems for performance and scalability.
- Develop RESTful and GraphQL APIs for internal and external integrations.
- Design and manage databases – relational and NoSQL – for optimal data flow and integrity.
- Integrate AI tools and frameworks for automation, analytics, and intelligent features.
- Conduct code reviews and mentor junior developers.
- Ensure system security and data protection in compliance with industry standards.
Requirements and Qualifications
- 4+ years of backend development experience in Golang, Python, or JavaScript/TypeScript.
- Strong system design expertise for scalable and maintainable solutions.
- Proficiency in RESTful API development and integration.
- Experience with PostgreSQL, MySQL, MongoDB, or similar databases.
- Familiarity with Git, CI/CD pipelines, and collaborative coding practices.
- Cloud experience with AWS, GCP, or Azure; and containerization with Docker/Kubernetes.
- Solid understanding of multithreading and concurrency.
- Experience or interest in AI technologies for automation and decision support.
- Excellent problem-solving and communication skills in a collaborative setup.
Preferred Skills
- Familiarity with microservices architecture.
- Experience using Kafka, RabbitMQ, or other messaging systems.
- Exposure to DevOps tools and serverless environments.
- Hands-on experience with GraphQL.
- Integration of AI solutions in production environments.
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