Limassol, Cyprus

Please take note: This is position is based in Limassol, Cyprus with an in-office and hybrid set up. Remote set up is not possible.

e Toro 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 40 million registered users from 75 countries and our platform is available in 20 languages. eToro is an innovative, fast growing business and listed on Nasdaq in May 2025. We have over 1,500 employees across more than 10 offices around the globe, strategically positioned to serve the needs of users. You can find out more about eToro here.

Role Summary

The Applications group owns etoro's core consumer product experience - mobile and web - serving as the company's primary trading and investing platform, built on React Native, React, and other modern web technologies. We build on a cutting-edge stack and delivery methodologies, spanning application engineering, QA, and product-led growth experimentation, and we're increasingly weaving AI into both the product and the way we build it - from in-app AI features to AI-driven engineering workflows across the SDLC.

We're looking for a Senior Frontend Engineer who loves turning ideas into products. You'll take ownership from early concept and technical design all the way to production, iteration, and scale.

This is a hands-on role for someone who thinks beyond the code: you care about the user experience, make pragmatic product and technical decisions, and use AI as a natural part of how you build, experiment, and move faster.

You'll have the freedom and responsibility to shape solutions end to end, working across architecture, implementation, delivery, monitoring, and continuous improvement.

**What You'll Be Doing**

• Own features end-to-end - from idea and specification through design, implementation, testing, release, and post-production monitoring
• Lead the design and implementation of complex, high-scale web applications and hybrid/mobile client experiences
• Make architectural and product trade-off decisions independently, even under ambiguity or incomplete information
• Partner proactively with Product, Design, Backend, and R&D stakeholders - communicating clearly and surfacing risks early
• Challenge assumptions - technical, product, and process - and push for the simplest solution that scales
• Continuously improve and automate the development lifecycle: CI/CD, testing, tooling, and workflows, always thinking in terms of scale and reuse
• Use and contribute AI tools (coding assistants, LLM-based workflows, automation) to accelerate delivery, testing, and quality - and help the team adopt them
• Share knowledge proactively: mentor teammates, write documentation and design docs, run reviews and demos
• Face and resolve technical challenges - performance, fault tolerance, security, and live production issues
• Write unit tests, integration tests, and maintain CI/CD pipelines

What We're Looking For - The Creator Mindset

*In the age of AI, we need engineers who go beyond writing code: *

• Sees the big picture - connects business goals, product strategy, and R&D execution
• Takes ownership and works independently, with a strong sense of accountability
• Delivers end-to-end, from idea to post-production, not just "my part"
• Comfortable with uncertainty, and confident making decisions with incomplete information
• Highly agile and flexible, thriving amid shifting priorities and high context-switching
• Communicates proactively and is a genuine team player
• Challenges assumptions across business, product, and technical dimensions
• Curious and innovative - always exploring new tools, patterns, and technologies
• Continuously improves and automates processes, thinking in terms of scale
• Proactively shares knowledge across the team and organization
• Has strong AI acumen - fluent with AI-assisted development, and curious about applying AI to the product itself