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

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 .
• 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 Responsibilities - 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 .