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Senior Lead Security Engineer
2 months ago
Lumen Technologies is a leading provider of digital infrastructure and solutions that connect people, data, and applications. Our mission is to ignite business growth by delivering fast, secure, and effortless connectivity.
We are committed to building a culture of teamwork, trust, and transparency, where our employees can thrive and deliver lasting impact. Our commitment to workplace inclusion and employee support is evident in our recognition as one of the greatest workplaces for diversity and our perfect score on the Human Rights Campaign Corporate Equality Index.
The RoleWe are seeking a highly skilled Senior Lead Security Engineer to join our Black Lotus Labs team. As a key member of our threat detection and analysis team, you will leverage our unique visibility to hunt Advanced Persistent Threat actors (APTs) and scale discovery of evolving malicious threats.
Our global visibility of one of the world's largest and most interconnected IP backbones, combined with our computing cluster, presents exciting opportunities to integrate machine learning and graph analytic techniques to find new ways to hunt for threats across the internet.
You will work alongside advanced security researchers, data engineers, and malware reverse engineers, and data scientists to tackle evolving threats accelerated by technologies like our Hadoop ecosystem (HBase, HDFS, Spark, Kafka, AirFlow), Elasticsearch and Redis clusters, Docker using Docker Swarm, malware environment, and a network of honeypots.
Main Responsibilities- Work with the team to scale analysis of evolving threats and tracking threat actors leveraging support from data science tools sets developed by data scientists at the Lab, such as machine learning and graph analytics.
- Collaborate with Advanced Persistent Threat (APT) analysts and conduct trend analysis on learned tactics, techniques, and procedures (TTPs) to uncover patterns found within our data holdings.
- Research and analyze threat actor activities on the Internet using Black Lotus Labs data holdings to develop analytical models to aid in the detection of malicious or anomalous events found in large data sets.
- Develop data analytics that drive cluster efficiencies and scale our capability when tracking malicious cyber actors (MCAs).
- Develop and implement automated workflows to identify and analyze trends found within our data holdings.
- Bachelor's Degree in Cybersecurity, Computer Science, or a related field, or 10 years of equivalent experience.
- Strong background in analyzing large data sets and presenting conclusions drawn from them.
- Scripting experience with Python and familiarity with distributed computing.
- Strong analytical thinking and ability to quickly pick up new methods, tools, and programming languages.
- Familiarity with extracting data through SQL.
- User-level experience in a Unix-based environment.
- Strong writing skills to assist in sharing our knowledge with the public.
- Demonstrable knowledge of several of the following areas: PySpark, Pandas, SQL, data visualization, and graph analytics.
- Experience using OSINT methods for investigation, including discovering signatures that can be used for hunting in our data holdings.
- Experience developing automation and analysis in Python-based environments.
- Proficient in analyzing NetFlow data to identify unusual patterns and potential security threats.
- Interest in conducting trend analysis to uncover patterns and emerging threats, enabling proactive defense strategies.
- Interest in learning or expanding knowledge of APT and malicious cyber actor (MCA) TTPs.
