Senior Backend Engineer
2 months ago
As a senior member of our team, you'll have end-to-end ownership of development, from ideation to production, and the autonomy to shape the direction of our products. You'll work on building robust, scalable, and maintainable services that enable the deployment of AI models at scale and collaborate with cross-functional teams to drive business impact. If you're driven by a passion for software engineering, fintech, and creating innovative AI-powered solutions that transform the banking industry, and you're excited about the prospect of working on ground-breaking projects that drive business growth, we encourage you to apply
Key Responsibilities
- Architect, design, develop, and maintain high performance, scalable backend systems using modern programming languages and framework.
- Implement high-quality, scalable code that adheres to industry standards and best practices, and take ownership of maintaining a robust suite of microservices, RESTful APIs, and GraphQL endpoints that drive business value.
- Drive technical architecture vision by leading discussions and contributing to the design of the system's overall structure.
- Collaborate with cross-functional stakeholders, including data scientists, software engineers, and business users, to distill product requirements into actionable solutions, and develop accurate estimates of effort required to deliver high-impact results.
- Manage databases, including data modelling, query optimization, and ensuring data integrity.
- Ensure the reliability and availability of backend systems through monitoring, performance tuning, and incident management.
Qualifications
Required Skills and Qualifications
- Bachelor or Master's degree in Computer Science, Software Engineering, or related field.
- 5+ years of experience in backend development, with strong proficiency in Python, JavaScript, Typescript and their frameworks.
- Solid experience in building and maintaining RESTful APIs, GraphQL and other service-based architectures.
- Strong knowledge of SQL and experience in RDBMS and/or NoSQL technologies (e.g. PostgreSQL, YugabyteDB, MongoDB, Cassandra)
- Familiar with CI/CD pipeline, version control, and automated testing frameworks (e.g. Jenkins, Git, Bitbucket)
- Experience with monitoring tools such as PLG or ELK stack.
- Good understanding of containers, build systems, and infrastructure automation with experience in Kubernetes and Docker.
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