• Own the technical architecture and long-term evolution of the Web Data Platform. • Define engineering standards, architectural principles, and technical roadmaps. • Lead a team of engineers through technical direction, mentoring, and regular feedback. • Design and build scalable distributed systems for public web data collection. • Drive the evolution of our browser automation platform and data extraction infrastructure. • Solve complex engineering challenges involving JavaScript-heavy websites, browser automation, networking, and anti-bot environments. • Improve scalability, resilience, observability, and operational excellence across the platform. • Review architecture, code, and technical designs to maintain high engineering quality. • Partner with Product, Infrastructure, and Platform teams to deliver reliable production systems. • Support hiring, onboarding, and the professional growth of the engineering team. • Help shape the engineering culture through technical excellence, collaboration, and continuous improvement.

Role Description We are currently searching for a Full-Stack Real time - Python/React Developer : - Build and maintain dynamic, responsive web applications using React with JavaScript/TypeScript. - Develop, scale, and maintain high-performance backend services and data pipelines using Python. - Work effectively with both relational/SQL databases and NoSQL databases, such as MongoDB. - Implement and optimize CI/CD pipelines to ensure smooth, automated deployments. - Maintain rigorous unit tests to ensure high code quality, reliability, and system performance. - Collaborate and communicate effectively across a globally distributed team. Qualifications - Proficiency in modern frontend development using React, JavaScript, and TypeScript, coupled with strong backend expertise in Python. - Extensive experience designing and consuming Web APIs, alongside practical experience with relational/SQL databases and NoSQL databases (e.g., MongoDB). - Familiarity with CI/CD practices and strong hands-on experience with unit testing frameworks (e.g., Jest, pytest, xUnit). - Strong communication skills and comfort working with a distributed team across various time zones. - Resilience, emotional intelligence, and a focus on agile delivery. - A deep understanding of the difference between "coding" and "engineering" (building scalable, real-time data architectures rather than just writing scripts). Requirements - Basic level of familiarity or hands-on experience with Databricks, PySpark, .NET, Azure, or GitHub. - Familiarity with cloud-native foundations or AI coding assistants. - Advanced Oral English. - Advanced Spanish. Benefits - Fully remote work environment.

Role Description Alongside partners with organizations to drive digital transformation and build high-performing tech teams. We're looking for a mid-level engineer to own both backend service development and data engineering on a realtime facility navigation and asset-tracking platform for industrial and logistics sites. The platform ingests live positioning and telemetry data from BLE-based tracking hardware, correlates it into events (e.g., asset pickups, movement, dwell time), and exposes it through backend services to web and mobile clients. What You'll Do: - Design, build, and maintain backend services and APIs (C#/.NET) that power the platform's core business logic. - Implement and maintain the service layer for asset tracking, facility navigation, and event detection features. - Integrate with third-party positioning/telemetry providers and their APIs. - Define and evolve API contracts in collaboration with the frontend team (web admin portal and mobile app). - Write automated tests, participate in code review, and help keep the codebase maintainable as the platform grows. - Support deployment, monitoring, and troubleshooting of backend services in production. Qualifications - 2–5 years of professional software engineering experience. - Strong proficiency in C#/.NET for backend service development. - Experience integrating with third-party APIs and webhooks. - Comfortable working with real-time or near-real-time data processing requirements. - Experience with a major cloud platform (Azure preferred, given the .NET stack). - Strong communication skills and comfort working in a small, cross-functional, fast-moving team. Requirements - Nice to Have: - Experience with actor-model or distributed-systems frameworks (e.g., Orleans). - Background in industrial, logistics, or IoT domains. Benefits - Remote work (Vietnam-based). - Estimated project duration: 19 weeks. - Full-time schedule: 8 hours per day, with mandatory availability for at least 4 hours. - Freelance / Service Agreement. - Hourly Rate: $12-$16.

• Build an application that connects to external CRM systems used by acquired agencies, extracts relevant data, and prepares it for migration into Dwelly. • Work with APIs, exports, files, databases and poorly documented legacy systems. • Design workflows for cleaning, mapping, normalising, deduplicating, and validating complex CRM data before it enters Dwelly's core platform. • Build safe import flows with retries, audit logs, dry runs, error handling and manual review where needed. • Work with entities such as landlords, tenants, properties, tenancies, payments and maintenance records. • Use LLM APIs pragmatically for schema mapping, data classification, entity matching, exception triage and quality checks. • Own the platform end to end: architecture, implementation, testing, deployment and production support. • Work closely with engineering, product, operations and integration teams.