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

Das ist der Job

Develop solutions to bypass anti-bot mechanisms , including CAPTCHA handling, session management, fingerprinting, and IP rotation . Extensive experience in handling CAPTCHAs, IP rotation, session management, and anti-bot evasion techniques .

Das brauchst du

Erfahrung, Qualifikation und Soft Skills, haben Sie alles, was Sie brauchen, um bei dieser Gelegenheit erfolgreich zu sein?

Darum lohnt es sich

This role will lead the engineering team , designing and optimizing high-performance, distributed web scraping systems . Collaborate with Product, DevOps, and Data Science teams to integrate extracted data into analytics and business applications.

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 .

Qualifications & Experience- Leadership & Soft Skills: Proven track record of scaling engineering teams and leading complex projects . Passion for mentorship, team development, and continuous learning . We are seeking a Director of Software Engineering with deep expertise in Node.js development and large-scale web scraping .

The ideal candidate has extensive experience in handling anti-bot measures, data pipeline optimization, and scalable cloud-based architectures . Finden Sie es unten heraus. 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. 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.

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 . 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 . 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) . Strong problem-solving and debugging skills, especially for scraping challenges and performance bottlenecks .

Excellent communication and stakeholder management skills. Preferred Qualifications: Experience with machine learning for data extraction and NLP . Knowledge of browser fingerprinting and bot detection mechanisms . xayajpt Familiarity with enterprise-scale web crawling frameworks (Scrapy, Colly, Apify, etc.).

Prior leadership experience in data-driven businesses or web scraping startups .