Software Developer -Backend Engineer

Description

eToro is the trading and investing platform that empowers users to invest, share, and learn. We were founded in 2007 with the vision of a world where everyone can trade and invest in a simple and transparent way. We have created an investment platform that is built around collaboration and investor education. On our platform, users can view other investors’ portfolios and statistics, and interact with them to exchange ideas, discuss strategies, and benefit from shared knowledge. We have over 38 million registered users from 75 countries, and our platform is available in 20 languages. We are a fast-growing business with over 1,500 employees across 13 offices worldwide, strategically positioned to serve the needs of our users. You can find out more about eToro here.

We are constantly growing and are excited to share that we are looking for a Backend Developer to join our team!

What You’ll Be Doing

• Design and develop 24/7 high-scale, low-latency distributed systems.
• Develop backend components and services using C# and .NET Core.
• Lead design efforts: write technical design documents and facilitate design review meetings.
• Tackle technical challenges related to performance, fault-tolerance, security, and live production issues.
• Work as part of a CI/CD-driven team and take full ownership of the development lifecycle, including design, development, testing, deployment, and production monitoring.
  
  

• 5+ years of professional experience as a backend developer.
• Strong hands-on experience with C# / .NET Core.
• Deep understanding of OOP, software design principles, and distributed system architecture.
• Proven ability to build fast, reliable, and maintainable backend systems.
• Experience with RabbitMQ, Redis, and SQL Server or similar technologies.
• Strong ownership mindset, attention to detail, and commitment to code quality.
  
  

• Experience running services on AKS (Azure Kubernetes Service) or similar container-based infrastructure.
• Familiarity with microservices, CI/CD workflows, and distributed systems.
• Experience in trading, fintech, or other high-availability, real-time environments.
• Gained practical experience in integrating AI capabilities into backend systems.
• Building or contributing to autonomous agents, AI-based workflows, or LLM-powered services.