Madlan

Description 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. Requirements 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 Success in this role will be measured 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

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

Description About the Role We are looking for a Mid-Level Software Engineer to join our R&D team. In this role, you will be the backbone of our internal engineering efficiency, taking full ownership of technical issue investigation, escalation management, and developer enablement. Unlike traditional roles tied strictly to feature sprint cycles, you will operate independently alongside our core development teams. While your absolute top priority is managing technical escalations and offloading operational friction from feature developers, this role is highly dynamic. Beyond ensuring system stability, you will also have the opportunity to contribute directly to core product features and work extensively with modern AI technologies, leveraging them to automate internal workflows and enhance our platform. If you enjoy root-cause analysis, debugging complex system behaviors, working heavily with AI tools, and writing hotfixes that empower both the R&D and Customer Success teams, this position is for you. Key Responsibilities • Issue Diagnosis & Root Cause Analysis: Serve as the primary point of contact for internal R&D technical escalations, investigating bugs, system edge cases, and platform anomalies. • Protect Sprint Velocity: Shield product squads from day-to-day operational distractions by analyzing, prioritizing, and resolving technical blockers. • Code, Hotfixes & AI Integration: Write scripts, bug fixes, micro-features, and patches directly within our codebase. Leverage AI tools to optimize processes and develop AI-driven internal workflows. • Cross-Functional Collaboration (CS Focus): Serve as the primary R&D focal point for Customer Success, partnering closely with them alongside DevOps, Product, and feature squads to translate recurring issue trends into long-term architectural improvements. • Developer Enablement: Maintain and improve internal tooling, staging environments, diagnostic workflows, and developer documentation. Requirements Requirements • Min. 4 years of experience in Software Engineering, Developer Support Engineering, or high-tier Technical Operations. • 2+ years of experience with AI tools & "Vibe Coding": Proven experience using AI-assisted development tools (e.g., Cursor, GitHub Copilot, ChatGPT/Claude) to accelerate coding, alongside hands-on experience integrating AI capabilities or LLMs into workflows. • Strong hands-on coding and debugging skills in modern web development stacks (e.g., JavaScript/TypeScript, Node.js, Python, or similar). • Solid understanding of REST APIs, backend microservices, modern databases (SQL/NoSQL), and cloud infrastructure concepts. • Experience with log management, monitoring, and debugging tools (e.g., Datadog, Sentry, Kibana, Postman). • Strong analytical and troubleshooting mindset—ability to read code, trace errors across system boundaries, and isolate root causes independently. • Excellent communication skills, with the ability to articulate complex technical issues clearly to internal developers, product stakeholders, and directly with customers during high-tier technical escalations. Nice to Have • B.Sc. in Computer Science or a related field. • Prior experience working in a fast-paced SaaS or PropTech environment (e.g., Madlan ecosystem). • Basic understanding of CI/CD pipelines, Docker, or Kubernetes.

Description מדלן היא הפלטפורמה המובילה בישראל לשוק הנדל"ן, המשלבת לוח דירות מתקדם עם מקור מידע מקיף ושקוף. אנחנו עוזרים לאנשים להגשים את החלום הנדל"ני שלהם עם גישה למאגר הנכסים הגדול ביותר בישראל ועם נתונים שיעזרו להם לקבל את ההחלטה הנכונה. הטכנולוגיה שלנו: אנחנו לא רק לוח נדל"ן – אנחנו חברה טכנולוגית הפועלת בגישת AI-First. אנו מפתחים ומשלבים כלי בינה מלאכותית מתקדמים כדי להפוך מידע מורכב לתובנות פשוטות וחכמות, המניעות את שוק הנדל"ן בישראל קדימה. אנחנו מחפשים מנהל/ת הצלחת לקוח שיצטרף/תצטרף אלינו, לניהול והובלת תהליכי הצלחה, שימור והעמקת הפעילות מול לקוחות ה-B2B שלנו. מה כולל התפקיד? • הובלת קשרי לקוחות B2B: בניית מערכות יחסים ארוכות טווח, הבנת צורכי הלקוח והבטחת המקסום של הערך העסקי שלו מול הפלטפורמה. • אונבורדינג והטמעה: ניהול חשבונות חדשים מקצה לקצה, ביצוע הכשרות והגדלת אימוץ מוצרי החברה. • תמיכה טכנית: סיוע טכני יומיומי ללקוחות, פתרון בעיות והתמודדות עם תקלות מערכת באמצעות שיחות טלפון ומענה כתוב. • שימור ומניעת נטישה: ניהול תהליכי שימור, זיהוי סיכונים בזמן אמת וניהול אסקלציות במידת הצורך. • גשר ארגוני ותמיכה: ייצוג צורכי הלקוחות והעברת משוב מול צוותי המוצר, הפיתוח, מכירה והשיווק בחברה. Requirements מה אנחנו מחפשים? • לפחות שנתיים ניסיון בתפקידי ניהול לקוח/הצלחת לקוח/תמיכה B2B בעולמות השירות והמכירה. • זיקה טכנולוגית, יכולת למידה מהירה והבנה מעמיקה של אתגרי לקוח. • כישורי תקשורת בין-אישית ויכולות ביטוי מעולות בכתב ובעל פה (בעברית). • גישה חיובית, אנרגיה גבוהה, אמפתיה ותודעת שירות יוצאת דופן. • יכולת עבודה בסביבה דינמית ועבודת צוות. יתרון: • ניסיון בעבודה עם מערכות טכנולוגיות ו- AI. • ניסיון קודם או הכרות עם עולם הנדל"ן. היקף משרה: משרה מלאה.