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 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. Originally posted on Himalayas