Senior Software Engineer
2 days ago
Bloomberg Data Technologies Engineering is a leading provider of data solutions for the financial industry. We are seeking a highly skilled Senior Software Engineer to join our team and contribute to the development of our low-latency web scraping solutions.
Job SummaryWe are looking for a talented Senior Software Engineer with a passion for full stack development, design/implementation skills, and experience integrating multiple external and internal systems. As a member of our team, you will contribute to the research, design, development, and maintenance of our low-latency, distributed web scraping solutions.
Key Responsibilities- Design, implement, and own critical applications and components of our platform.
- Participate in the full SDLC of various components and systems that are required to be robust and scalable.
- Get to know engineering and data teams across Bloomberg, understand their application requirements and data access patterns.
- Understand the needs of our clients, translate requirements into features and enhancements to our web crawling platforms.
- Bring the latest and greatest innovation and technology stack features from the open source community to our products.
- 4+ years experience working with C++ including server application, frameworks, CLI tools, and building microservices.
- 4+ years experience building comprehensive, scalable, and extensible client-side apps with JavaScript (ES2015+)/TypeScript, Front End -Development frameworks/tools, such as React, Angular, Vue, Webpack, Babel, Twitter Bootstrap, etc.
- Prior contributions to system design and architecture and scaling fault-tolerant, distributed systems.
- A Degree in Computer Science, Engineering, Mathematics, similar field of study or equivalent work experience.
- Web Crawling or Web scraping experience.
- Experience with low latency systems.
- Experience working with Microservice architectures and methodologies such as Twelve-factor and Lambda.
- Familiarity with Transport and Application layer protocols.
- Knowledge of Big Data, SQL and NoSQL Databases, and Cloud-Based Object Stores.
- Understanding of queuing and caching technologies.
- Experience with Data Science and Machine Learning techniques to help with automation.
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