Lead Backend Engineer

Responsibilities:

• Backend System Development: Design and implement scalable backend services using Node.js, Go, and Python.
• Machine Learning Integration: Apply machine learning algorithms and frameworks, including TensorFlow and PyTorch, to enhance data analytics and insights.
• Web Crawling and Data Scraping: Develop and maintain web crawlers and scrapers using tools like Scrapy to gather and process data efficiently.
• DevOps and CI/CD Pipelines: Build and manage CI/CD pipelines for streamlined deployment and continuous integration.
• Infrastructure Management: Oversee cloud and on-premises infrastructure, focusing on scalability and system reliability.
• Collaboration and Agile Development: Work within cross-functional teams, aligning backend development with broader project objectives and adopting agile methodologies.
• Agile Project Management: Independently build engineering backlog, sprint planning, sprint tracking, measuring sprint velocity and burn down, and ensure timely delivery of products.
• Testing and Quality Assurance: Ensure the stability and performance of backend systems through comprehensive testing and quality control.

Requirements:

• Bachelor's or Master's degree in Computer Science, Engineering, or related field.
• Solid experience in backend development using Node.js, Go, and Python.
• Minimum 6 years of experience in high scale consumer internet startup.
• Experience with machine learning frameworks such as TensorFlow or PyTorch.
• Proficiency in developing web crawlers and scrapers, with experience using Scrapy.
• Strong understanding of cloud infrastructure, DevOps practices, and CI/CD pipelines.
• Familiarity with handling large-scale data processing and storage.
• Exposure to IoT technologies and data integration from various sources.
• Effective problem-solving skills and meticulous attention to detail.