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 simply and transparently. 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 is 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

This is a strategic, cross-functional role responsible for architecting and delivering systems, integrations, and AI-driven operational solutions across eToro. You will assess business processes end-to-end, design scalable improvements, and lead a team executing integrations and automations.

You’ll collaborate with developer teams, Data, Security, IT, and R&D architects to identify business improvement needs and deliver operational efficiency.

This role is ideal for a technology-oriented architect or integration specialist who is highly fluent in modern AI tools, enjoys problem-solving, and thrives in a fast-paced environment with remote stakeholders.

What will you be doing?

Architecture & Design

• Define the overall technical vision and architecture for BizOps systems, applications, and integrations.
• Establish AI architecture principles, including the selection and governance of AI models, frameworks, and components, to ensure scalability, performance, and ethical use.
• Drive the design and reusability of AI agents and services to enable consistent, modular, and efficient deployment across business domains.
• Create blueprints and scalable designs for new business products, services, and processes.
• Develop frameworks and standards for API services, data pipelines, automation, and AI-driven processes.
• Implement monitoring, observability, and security practices across solutions.
• Ensure designs meet business objectives while maintaining scalability, maintainability, and cost efficiency.

Leadership & Collaboration

• Lead and mentor the Integration Development Team, fostering high-quality delivery aligned with design principles and best practices.
• Provide technical guidance to BizOps development squad leads across multiple domains.
• Partner closely with Business Analysts, Solution Architects, Data Engineers, and BI Analysts to deliver end-to-end solutions.
• Work collaboratively with R&D, IT, Security, Product, and Business Operations teams to ensure alignment between technology and business goals.

Integration & Data Ownership

• Oversee the architecture, design, and development of internal and external system integrations.
• Own the lifecycle of integration services and data pipelines, ensuring reliability and performance.
• Drive automation, orchestration, and process optimization through data-driven and AI-enabled design.

Governance, Quality & Continuous Improvement

• Define development standards, code quality guidelines, and review processes.
• Ensure compliance with security, monitoring, and change management frameworks.
• Evaluate emerging technologies and recommend innovative solutions to enhance system capabilities.

• 7+ years of experience in technical architecture, system integration, or related development roles.
• Proven experience in designing scalable and secure enterprise-grade applications and integrations.
• Proven experience with AI and LLM development, including hands-on work with Retrieval-Augmented Generation (RAG), prompt orchestration, caching strategies, document processing, and latency optimization.
• Experience leading technical teams or managing development squads.
• Strong background in API design, data pipelines, and cloud-based integration platforms.
• Experience designing and implementing AI/ML solutions, including model selection, training, and deployment.
• Solid understanding of security, observability, and data governance best practices.
• Hands-on experience with modern development frameworks, data platforms, and integration tools (e.g., REST, GraphQL, ETL frameworks, CI/CD pipelines).
• Experience working with BI and analytics environments (e.g., Databricks, Tableau, etc.).
• Excellent communication, stakeholder management, and problem-solving skills.
• Fluent English, both written and verbal.

Preferred Qualifications

• Experience with Salesforce or similar CRM platforms.
• Experience with MuleSoft or similar integration platforms.
• Knowledge of cloud architecture (AWS, GCP, or Azure).
• Familiarity with data lake and event-driven architectures.
• Experience with AI agents, LLMs, and orchestration frameworks.
• Strong understanding of business process automation and operational systems.