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.
