Flashpoint is the pioneering leader in threat data and intelligence. As a Junior Vulnerability Automation Engineer, you will play a pivotal role in transforming operational data into actionable insights through automated processes while contributing to the security market's intelligence needs.
Responsibilities:
- Analyze vendor security advisories, research vulnerability reports, mailing lists, product changelogs, news articles, bug trackers, commits, exploits, and many other sources to identify issues that constitute legitimate vulnerabilities (sources are provided) in order to use automation to author a detailed vulnerability entry based on findings
- Navigate messy HTML, quirky site structures, and a constantly shifting vulnerability landscape
- Develop maintainable and scalable code to acquire, parse, and transform scraped data, ensuring timely and efficient delivery of valuable insights to our customers
- Design and implement robust, cutting-edge automation technologies to build efficient and scalable data workflows and pipelines
- Drive continuous process improvement by contributing to the evolution of software processes (requirements, design, implementation, testing, and validation) and pioneering innovative, tech-forward approaches to overcome our most complex data challenges
- Collaborate with other teams such as Product, Engineering, and Customer Success to solve customer challenges, clarify technical content, and be customer-oriented
- Apply your honesty, strong sense of morals and ethics, and sense of responsibility towards making Flashpoint and those around you smarter, stronger, and kinder
- Within 30 days + Configure your development environment + Get familiar with the current data infrastructure + Get an understanding of the data: the inputs, the outputs, and its consumption by the team + Get familiar with the vulnerability ingestion pipeline
- Within 60 days + Begin working on automation projects: from maintenance tasks to new additions + Get an in-depth understanding of the data pipeline: how components are interacting at a more technical level + Be involved in automation and data discussions (internal and external) and contribute to solutions’ designs
- By 90 days + Collaborated with other teams such as Product, Engineering, and Customer Success to solve customer challenges and clarify technical content. + Be able to determine if a source should be escalated to more complex scraping systems + Respond to help requests related to automation + Contribute to complex scraping projects + Be responsible for the implementation of a new data feature, which could be a request from the team or an improvement to the current data pipelines + Start becoming an expert in data processing at scale
Requirements:
- Possess a deep-seated passion for solving complex data challenges at scale, underpinned by a mastery of computer science fundamentals and elegant design patterns
- Like to create and maintain efficient, scalable, and well-organized code
- Have experience architecting and navigating complex distributed data systems to unlock critical insights
- Have experience working with Search Engines and API implementations
- Have strong analytical and problem-solving skills to identify data-related issues and implement effective solutions
- Have a versatile, creative temperament, and the ability to think out-of-the box while defining sound and practical solutions
- Are self-motivated and can work independently and in collaboration with others
- Have compassion for customer needs and a desire to work in a client focused business
- Familiarity with Software Development Life Cycle processes
- Interest in web scraping (prior experience is a plus, but not required)
- Experience with Python or similar object oriented language
- Familiarity with git, or willingness to learn
- Experience with orchestration frameworks like Apache Airflow/NIFI or willingness to learn
- Knowledge of system integration
- Familiarity of postgresql or other relational databases
- Knowledge of vulnerabilities a bonus