Director of Software Engineering (Node.js & Web Scraping Expert) (47)

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 candidatehas 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.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.