SSE-Python

Company Overview:

BOLD is an established and fast-growing product company that transforms work lives. Since 2005, weve helped more than 10,000,000 folks from all over America (and beyond!) reach higher and do better. A career at BOLD promises great challenges, opportunities, culture and the environment. With our headquarters in Puerto Rico and offices in San Francisco and India, we’re a global organization on a path to change the career industry.

Position Overview:

BOLD is seeking a highly skilled professional to spearhead the development of cutting-edge browser automation technology for our ExpertApply product. You will play a key role in designing scalable automation frameworks, tackling challenges in bot detection, and optimizing system performance. You'll also be responsible for building and monitoring metrics to ensure system reliability and robustness. If you are passionate about large-scale automation and system reliability, we want to hear from you.

Key Responsibilities:

• Design, develop, and maintain scalable web page automation solutions using Python.
• Optimise existing code to improve performance and efficiency, ensuring the system can handle high traffic loads.
• Implement message handling to facilitate communication between different services.
• Develop web scraping solutions to gather and process data from various online sources.
• Analyze and troubleshoot software issues, providing timely resolutions to ensure system reliability.
• Collaborate with cross-functional teams to understand user requirements and translate them into technical specifications.
• Review and enhance code quality through thorough testing and code reviews.
• Stay updated with industry trends and emerging technologies, integrating best practices into the development process

Required skills:

• Strong programming skills in Python like expertise in string manipulation and regular expression to effectively handle and process the text data during web scrapping and automation tasks.
• Deep understanding of OOP principles, including encapsulation, inheritance, and polymorphism, to design robust and maintainable software systems.
• Knowledge of common design patterns (e.g., Singleton, Factory, Observer) to enhance system design, imprve code reusability, and implement best practices in software architecture.
• Solid foundation in algorithms (sorting, searching, parsing) and data structures (lists, dictionaries, trees) to solve complex problems efficiently and effectively during software development.
• Proficient in identifying and manipulating HTML elements (DOM) for automated interactions, including forms, buttons, and links. Knowledge of XPath and CSS selectors for precise data extraction.
• Good understanding of how modern browsers function, including rendering engines, JavaScript engines, HTTP protocols, and browser APIs. Experience optimizing scraping strategies based on browser behaviour and performance.
• Experience with caching technologies (e.g. Redis, in-memory caching)
• Experience with messaging protocols (e.g. Azure service bus, Kafka, RabbitMQ)
• working knowledge and proven experience in containerization using Docker.
• Understanding of DevOps practices and CI/CD pipelines.
• Excellent communication skills and the ability to collaborate across time zones
• Excellent analytical and problem-solving skills.
• Knowledge of cloud computing, Amazon Web Services or Microsoft Azure

Additional skills (Good to have):

• Experience with web frameworks (e.g., FAST API, Flask, Django)
• Knowledge of web scraping methodologies and tools, including headless browser automation (e.g., Playwright, Selenium, Puppeteer), and familiarity with JavaScript execution within the scraping context.
• Proficient in writing tests for scraping scripts to ensure robustness, reliability, and maintainability, along with debugging techniques to troubleshoot any issues that arise during the execution of scraping processes.
• Knowledge of database systems (SQL and NoSQL).
• Knowledge of leveraging LLMs (e.g., GPT, BERT) to improve web page automation. Ability to utilize LLMs for natural language understanding tasks, such as extracting meaningful insights from pages or generating context-aware interactions.