Senior Full-Stack Developer

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

About the Role

At Madlan, we are redefining the real estate market through data, transparency, and technology. We are looking for a sharp, experienced Senior Full-Stack Developer to play a key role in building our next-generation systems, cracking complex architectural challenges, and driving core product features end-to-end.

This is a 100% hands-on role, combining production-grade software development, active participation in architectural decisions, and fostering a modern AI-First engineering culture. Your goal isn't just shipping features—it's elevating code quality, taking deep ownership, and serving as an engineering growth engine for the team.

What You’ll Do

• Hands-on Development: Write scalable, high-performance code across the full stack (frontend and backend), maintaining end-to-end ownership over features, microservices, and databases.
• Design & Architecture: Actively participate in architectural decisions, schema design, and technical solutioning for complex product requirements.
• Engineering Excellence: Drive high code quality through rigorous code reviews, automated testing, engineering post-mortems (lessons learned), and active knowledge sharing.
• AI Integration: Leverage AI tools and agentic workflows in your daily engineering tasks to streamline development and boost productivity.
• Agile & Delivery: Perform actionable technical breakdowns and maintain a fast, predictable, and continuous delivery pace in a dynamic environment.

What We’re Looking For

• 8+ years of professional software engineering experience, with a proven track record as a Senior Full-Stack Developer.
• Database Expertise: Deep understanding of database design, schema optimization, and complex querying in both SQL and NoSQL environments.
• High Engineering Standards: Proven experience with clean code practices, test automation, and distributed systems / microservices architecture.
• Autonomy & Ownership: Ability to take complex product requirements, break them down technically, and drive them to production independently.

Strong Advantages

• AI Experience: Hands-on experience integrating LLMs, AI agents, or AI-assisted development tooling (e.g., Cursor, Claude Code, MCP).
• DevOps & Cloud: Solid understanding of CI/CD pipelines, AWS/GCP infrastructure, Docker, and Kubernetes.
• GIS & Spatial Data: Hands-on experience with PostGIS or spatial data processing.

How We Measure Success

We'll measure success by code and architecture quality, independent end-to-end feature delivery, predictable velocity, and active adoption of AI-driven engineering workflows.

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