Software Development Engineer Lead (Backend)
Summary
Leads backend development for a fintech company, designing scalable systems for high-traffic financial products like APERD and DANA+; focuses on distributed architecture, performance tuning, and mentoring engineers.
We are looking for a highly experienced Software Development Engineer Lead (Backend) to join our Technology team and play a key role in building next-generation financial products. You will be responsible for designing and developing high-performance backend services for strategic initiatives, including the development of APERD and future DANA+ capabilities. This role requires strong technical leadership, hands-on engineering expertise, and the ability to build scalable systems that support high-traffic financial environments.
You'll be working on:
- Bachelor's degree in Computer Science, Information Technology, Engineering, or related field.
- 7+ years of software engineering experience with strong backend expertise.
- Hands-on experience with one or more backend technologies such as: Java, Golang, Node.js, Python
- Proven experience designing and operating high-traffic, large-scale systems.
- Strong understanding of: Microservices architecture, Distributed systems, API design, Database optimization, System performance tuning.
- Experience implementing CI/CD and modern software delivery practices.
- Strong analytical thinking and problem-solving skills.
- Ability to work independently and take ownership in a fast-paced environment.
Qualifications:
- Design and develop highly scalable, reliable, and secure backend services.
- Architect distributed systems capable of supporting high-volume transactions and user traffic.
- Drive technical decisions balancing scalability, performance, security, and speed of delivery.
- Establish engineering best practices and coding standards.
- Build and maintain backend services, APIs, and integrations.
- Optimize application performance, reliability, and system availability.
- Ensure high code quality through testing, code reviews, and automation.
- Leverage AI-powered development tools and engineering practices to improve productivity and delivery quality.
- Provide technical guidance and mentorship to engineers.
- Collaborate with Product, Project Management, and cross-functional teams to translate business requirements into scalable solutions.