We're seeking an exceptional Backend Tech Lead/Staff Backend Engineer to architect and build the foundation of our revolutionary AI-powered travel platform in Tel Aviv.
In this critical technical leadership role, you'll design scalable backend systems that power intelligent experiences for thousands of daily users. This position offers the rare opportunity to shape core architecture decisions while enjoying the innovative culture of a startup backed by established company resources.
In this critical technical leadership role, you'll design scalable backend systems that power intelligent experiences for thousands of daily users. This position offers the rare opportunity to shape core architecture decisions while enjoying the innovative culture of a startup backed by established company resources.
What Will You Do
- Architect and implement high-performance, scalable backend services that power our AI-driven travel platform
- Design and optimize data models and APIs that enable seamless integration between our AI capabilities and frontend experiences
- Lead technical initiatives across the full development lifecycle, from conceptualization through production deployment
- Build robust infrastructure for data processing, machine learning model integration, and real-time recommendations
- Establish engineering standards for reliability, observability, security, and performance across backend systems
- Mentor engineering team members and drive technical excellence across the organization
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What We're Looking For
- 8+ years of professional software engineering experience with significant backend systems development
- Expertise in backend technologies such as Java, SprintBoot, Node.js, Python, with mastery in at least in Java
- Experience building and scaling distributed systems in cloud environments (AWS/GCP/Azure)
- Proficiency designing REST/GraphQL APIs and micro-services architectures
- Hands-on experience with database technologies (SQL and NoSQL) and data modeling
- Knowledge of infrastructure-as-code, CI/CD practices, and containerization technologies
- Experience integrating or implementing AI/ML capabilities into production systems
- Proven track record of technical leadership on complex projects with significant business impact