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Senior Tech Lead (Hands-on)

Madlan·Tel Aviv·Posted 4 days ago

Senior7+ yrsOn-site

Description

Location: Tel Aviv (Hybrid) | Reports to: VP R&D

About the Role

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.
  • Tech Stack
  • Backend: Node.js, TypeScript, gRPC, GraphQL, Clojure (JVM)
  • Data & Pipelines: PostgreSQL + PostGIS, MongoDB, ElasticSearch, Redis, Airflow, Kafka
  • Cloud & Infrastructure: AWS (EKS, RDS, S3), Docker, Kubernetes, Helm, Skaffold, CircleCI, Kibana
  • Frontend: JavaScript / TypeScript, HTML5, CSS3, React (17–19), Next.js
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