Senior Software Engineer

Job description

CUBE are a global RegTech business defining and implementing the gold standard of regulatory intelligence for the financial services industry. We deliver our services through intuitive SaaS solutions, powered by AI, to simplify the complex and everchanging world of compliance for our clients. **Why us?** 🌍 CUBE is a globally recognized brand at the forefront of Regulatory Technology. Our industry-leading SaaS solutions are trusted by the world’s top financial institutions globally. 🚀 In 2024, we achieved over 50% growth, both organically and through two strategic acquisitions. We’re a fast-paced, high-performing team that thrives on pushing boundaries—continuously evolving our products, services, and operations. At CUBE, we don’t just keep up we stay ahead. 🌱 We believe our future is built by bold, ambitious individuals who are driven to make a real difference. Our “make it happen” culture empowers you to take ownership of your career and accelerate your personal and professional development from day one. 🌐 With over 700 CUBERs across 19 countries spanning EMEA, the Americas, and APAC, we operate as one team with a shared mission to transform regulatory compliance. Diversity, collaboration, and purpose are the heartbeat of our success. 💡 We were among the first to harness the power of AI in regulatory intelligence, and we continue to lead with our cutting-edge technology. At CUBE, You will work alongside some of the brightest minds in AI research and engineering in developing impactful solutions that are reshaping the world of regulatory compliance. - Develop scalable and production-ready backend services with high reliability. - Deliver secure, well-documented APIs that meet functional and performance requirements. - Optimize database performance and ensure efficient data management. - Ensure high code quality through testing, code reviews, and engineering best practices. - Successfully deploy applications through automated CI/CD pipelines. - Contribute to improving system scalability, observability, and operational excellence. About the Role: Design, develop, and maintain scalable backend services and APIs using Python. Work closely with cross-functional teams to build secure, high-performance, cloud-native applications and contribute to the architecture, development, and deployment of enterprise-grade solutions. Key Responsibilities: - Design and develop RESTful APIs and backend services using Python (FastAPI/Django). - Build scalable, secure, and high-performance microservices. - Develop integrations with databases, cloud services, and third-party APIs. - Design and optimize PostgreSQL database schemas and queries. - Implement authentication and authorization using industry-standard security practices. - Write clean, maintainable, and well-tested code following best engineering practices. - Containerize applications using Docker and support CI/CD deployments. - Collaborate with Product, QA, DevOps, and Architecture teams throughout the development lifecycle. - Troubleshoot, optimize, and enhance application performance and reliability. First 90 Days — Objectives: Day 30: Understand the product architecture, development standards, and deployment process. Deliver initial API enhancements or feature implementations. Day 60: Independently develop and deliver backend features and integrations. Participate actively in design discussions and code reviews. Day 90: Own end-to-end delivery of backend components. Optimize application performance, reliability, and contribute to architectural improvements. Required Skills & Experience: - 3–5 years of Python backend development using FastAPI, Django, or similar frameworks. - Strong experience in REST API development and microservices architecture. - Good understanding of authentication, authorization, and API security. - Hands-on experience with PostgreSQL and database design. - Experience with cloud platforms (AWS/Azure/GCP) and object storage. - Strong knowledge of Docker and CI/CD practices. - Good understanding of asynchronous programming, data structures, algorithms, and software design principles. - Experience with performance optimization, caching, and application monitoring. Nice to Have: - Experience with Kafka, RabbitMQ, or Azure Service Bus. - Experience with Kubernetes and container orchestration. - Exposure to AI/ML or LLM integrations. - Familiarity with Redis, Elasticsearch/OpenSearch, or other distributed systems. - Experience building enterprise SaaS applications. **Interested?** If you are passionate about leveraging technology to transform regulatory compliance and meet the qualifications outlined above, we invite you to apply. Please submit your resume detailing your relevant experience and interest in CUBE.​ CUBE is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.