Junior Security Engineer – Quality, Fraud and Security
Join a fintech engineering team responsible for platform security, fraud detection, software quality, and production reliability. You will investigate issues end to end, use AI-assisted development tools, and deliver fixes across frontend, backend, cloud, and data systems.
Responsibilities
- Investigate and resolve production issues from detection through deployment.
- Identify system vulnerabilities and close security loopholes.
- Monitor AWS logs and analyze Databricks data to detect and manage potential attacks.
- Drive bugs from definition through production using AI-assisted troubleshooting, code generation, and refactoring.
- Monitor live traffic and system behavior across a SaaS platform.
- Maintain performance, data integrity, operational correctness, code quality, and security.
Requirements
- At least one year of software development experience.
- Regular experience using AI coding tools such as Cursor, Claude, Gemini, or Codex for debugging, code generation, and refactoring.
- Proficiency with a modern frontend framework such as Vue, Angular, or React.
- Strong backend development skills with TypeScript and Node.js.
- Ability to write and manage SQL queries in a business intelligence system.
- Hands-on experience with at least one major cloud platform: AWS, Azure, or GCP.
- Experience with Databricks, Git, GitHub, Jira, and CI/CD pipelines such as TeamCity.
- Understanding of software architecture, microservices, and data-stream interactions.
Nice to have
- Cybersecurity experience.
- Threat-modeling awareness.
- Hands-on log analysis experience.
Benefits
- Collaborate with experienced engineers in a knowledge-sharing environment.
- Work with AI-driven software development workflows and modern engineering practices.
- Make a direct impact on the protection and reliability of a platform handling critical financial data.