Director of Software Engineering (Node.js & Web Scraping Expert)

Job description

We are seeking a **Director of Software Engineering** with deep expertise in **Node.js development** and **large-scale web scraping**. This role will lead the **engineering team**, designing and optimizing **high-performance, distributed web scraping systems**. The ideal candidate has **extensive experience in handling anti-bot measures, data pipeline optimization, and scalable cloud-based architectures**. ### Key Responsibilities- Software Engineering & Web Scraping Leadership: - Architect, develop, and maintain **scalable and distributed web scraping systems** using **Node.js**[.](http://Node.js.Design) - Design and implement **data extraction pipelines** to process large volumes of structured and unstructured data. - Develop solutions to **bypass anti-bot mechanisms**, including **CAPTCHA handling, session management, fingerprinting, and IP rotation**. - Optimize scraping processes for **performance, reliability, and efficiency** while managing **proxy services**(residential, datacenter, rotating).Oversee **data storage and processing strategies**, ensuring high availability and consistency. - Collaborate with **Product, DevOps, and Data Science teams** to integrate extracted data into analytics and business applications. - Implement **best practices for microservices, API integrations, and real-time data streaming**. ### Key Responsibilities- Scalability, Security & DevOps: - Lead the transition to **cloud-native, containerized, and serverless architectures** for web scraping. - Ensure compliance with **legal and ethical standards** (robots.txt, GDPR, CCPA, etc.).Optimize **cloud resources** (AWS, GCP, or Azure) to support high-throughput scraping. - Manage **real-time monitoring and alerting** systems to detect **scraping failures, IP bans, or performance bottlenecks**. - Work closely with **DevOps teams** to optimize **CI/CD pipelines, automated deployments, and system scalability**. ### Key Repsonsibilities- Engineering Team Management & Strategy: - Lead, mentor, and grow a **high-performance engineering team**. - Define and execute the **technology roadmap**, aligning with business objectives. - Foster a culture of **continuous learning, collaboration, and innovation**. - Implement **agile development methodologies (Scrum, Kanban)** to optimize project execution. - Ensure **code quality, security, and best practices** across all engineering efforts. ### Qualifications & Experience- Technical Expertise: - **10+ years** of experience in **software engineering**, with at least **5+ years** in **web scraping and large-scale data extraction**. - Strong hands-on expertise in **Node.js, Puppeteer, Playwright, Cheerio, Selenium, and headless browser automation**. - Extensive experience in **handling CAPTCHAs, IP rotation, session management, and anti-bot evasion techniques**. - Deep knowledge of **proxy management (residential, datacenter, rotating, and VPNs)**.Experience with **NoSQL/SQL databases (MongoDB, PostgreSQL, Redis, Elasticsearch, etc.)**. - Familiarity with **data processing frameworks (Kafka, RabbitMQ, Spark, Airflow, etc.)**.Strong experience with **CI/CD, containerization (Docker, Kubernetes), and cloud deployment (AWS/GCP/Azure)**. ### Qualifications & Experience- Leadership & Soft Skills: - Proven track record of **scaling engineering teams and leading complex projects**. - Strong **problem-solving and debugging** skills, especially for **scraping challenges and performance bottlenecks**. - Excellent **communication and stakeholder management** skills. - Passion for **mentorship, team development, and continuous learning**. ### Preferred Qualifications: - Experience with **machine learning for data extraction and NLP**. - Knowledge of **browser fingerprinting and bot detection mechanisms**. - Familiarity with **enterprise-scale web crawling frameworks** (Scrapy, Colly, Apify, etc.). - Prior leadership experience in **data-driven businesses or web scraping startups**.