Description

Key Responsibilities

• Design, develop, and maintain scalable, high-performance Python applications using object-oriented principles
• Build and contribute across the full stack (backend focus with front-end exposure as needed)
• Collaborate with cross-functional teams (Product, QA, DevOps) to deliver enterprise-grade solutions
• Write clean, maintainable, and testable code following best practices and coding standards
• Participate in application architecture and design decisions
• Integrate APIs, third-party services, and internal systems
• Utilize AI-assisted development tools to improve coding efficiency, testing, and code quality
• Contribute to CI/CD pipelines and modern DevOps workflows
• Troubleshoot, optimize, and enhance existing systems

Required Qualifications

• Strong experience with Python development in a pure application engineering capacity
• Proven expertise in object-oriented programming (OOP) and design patterns
• Experience building full stack or backend-heavy applications (not data pipelines or scripting-only roles)
• Prior experience within banking, financial services, or capital markets (Will consider candidates from large enterprise environments with complex systems)
• Familiarity with cloud platforms (AWS, Azure, or GCP)
• Experience working with APIs, microservices, and distributed systems
• Exposure to modern software development practices (testing frameworks, CI/CD, version control)
• Hands-on experience using AI coding tools (e.g., GitHub Copilot, ChatGPT, or similar) to enhance development productivity

Preferred Qualifications

• Experience with both relational (SQL) and NoSQL databases
• Front-end experience with technologies such as React, Angular, or similar frameworks
• Knowledge of Docker, Kubernetes, or containerization technologies
• Experience in highly regulated environments (financial services strongly preferred)
• Familiarity with event-driven architecture or real-time processing systems

What NOT Looking For - To ensure alignment, this role is NOT suited for candidates who primarily:

• Build data pipelines or ETL workflows (Data Engineers)
• Focus on Python scripting for automation only
• Work exclusively in analytics, reporting, or data science environments

Why Join?

• Work on mission-critical financial applications
• Exposure to modern engineering practices and AI-augmented development
• Collaborative, high-impact environment with strong technical leadership

Ideal Candidate Profile Summary

• A true software engineer at heart—someone who:
• Thinks in objects, systems, and architecture, not scripts
• Has built real applications end-to-end, not just pipelines
• Understands the complexity and rigor of financial systems
• Is already leveraging AI tools to code smarter, faster, and better

Key Skills

Education

Any Graduate