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Location: Tel Aviv (Hybrid) | Reports to: VP R&D
At Madlan, we are redefining the real estate industry through data, transparency, and technology. We are looking for a Senior Tech Lead to serve as the technological compass of the department and act as a strategic right hand to the VP R&D.
This is a 100% hands-on role combining critical core coding, architectural leadership, intensive mentorship, and driving an AI-First mindset across the engineering culture. Your goal goes beyond shipping features—it is about building and cultivating a sharp, autonomous, and high-performing engineering team.
What you'll do
Architecture & Code (Hands-on): Lead end-to-end architecture (Backend & Frontend), take ownership of the stack, databases, and repositories, and write complex core system components.
Product-to-Tech Translation: Deconstruct complex product requirements into clear, precise, and actionable technical breakdowns for developers.
Mentorship & Engineering Excellence: Empower and develop team members, conduct rigorous code reviews, run engineering post-mortems (lessons learned), and build a culture of continuous knowledge sharing.
Agile & Delivery: Drive technical task decomposition, set realistic estimations, and execute stable, predictable sprint deliveries.
Requirements
What We’re Looking For
7+ years of software development experience, including a proven track record as a Tech Lead / Staff Engineer with strong Full-Stack architecture expertise (with heavy depth in Backend).
Database Expertise: Deep understanding of database design, optimization, and management across both SQL and NoSQL environments.
Strong Mentorship: Proven capability to grow engineers, share knowledge, and establish high engineering standards.
Agile Mastery: Ability to turn complex demands into well-defined tasks and maintain a fast, reliable delivery pace.
Nice to have
AI Experience: Hands-on work with LLMs and AI tools integrated into products or dev-workflow automation.
DevOps/Cloud Background: Deep understanding of CI/CD, cloud infrastructure (AWS/GCP), and cloud architecture.
How We Measure Success
Success in this role is defined by team growth and autonomy, consistent and fast delivery cadence, and embedding an AI-driven engineering culture.