Threat Research Analyst - Black Lotus Labs

About Lumen

Lumen connects the world. We are igniting business growth by connecting people, data and applications - quickly, securely, and effortlessly. Together, we are building a culture and company from the people up - committed to teamwork, trust and transparency. People power progress.

We're looking for top-tier talent and offer the flexibility you need to thrive and deliver lasting impact. Join us as we digitally connect the world and shape the future.

The Role

Black Lotus Labs has an opening for a Senior Lead Security Engineer that will leverage Lumen's unique visibility to hunt and scale discovery of evolving malicious threats as well as provide guidance on mitigations on large networks. Our global visibility into one of the world's largest and most interconnected IP backbones as well as our computing cluster present exciting opportunities to integrate machine learning and graph analytic techniques as we find new ways to hunt for threats across the internet. Black Lotus Labs has detected and disrupted key evolving threats at an internet scale for years.

This position will work alongside Black Lotus Labs advanced security researchers, data engineers, malware reverse engineers, data scientists, and our customers 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.

This is a close-knit, experienced, amazingly smart team that you can be a part of and help build out. This is a remote/work-from-home opening with requirements for in person collaboration at the customer site as needed in Annapolis Junction, Maryland.

This position requires an active TS/SCI security clearance w/ CI Poly.

Location

This is a remote position open to candidates based in Maryland or Virginia.

The Main Responsibilities

-Research latest threat attacker tools, techniques, and procedures (TTPs) with a goal of automating detection.

-Work with cyber operators, when requested, to conduct in-depth investigations on cyber threat activity and provide mitigation guidance.

-Automate investigations through Python scripting and data analysis using visualization in Jupyter Notebooks and Grafana

-Build and maintain trust relationships with other intelligence teams, law enforcement, and other outside groups.

-Support customer RFIs on incidents and emerging threats.

What We Look For in a Candidate

Desired candidates will have a strong background exhibiting:

-Candidates must effectively communicate complex domain-specific concepts, ensuring clarity for both technical and non-technical audiences.

-Familiarity with adversary capabilities, infrastructure, and techniques that can be applied in collaboration with supporting teams and partners to discover, track, and defend against the adversaries aggression towards customer networks.

-Experience using OSINT methods for investigation, including discovering novel threats in malware repositories.

-Scripting experience with Python and familiarity with distributed computing.

-Extensive experience hunting threat actors and developing algorithms and techniques to identify new threats from large data sets.

-Deep knowledge of network-based threats and identifying behaviors without attack payloads.

-Strong analytical thinking and ability to quickly pick up new methods, tools and programming languages.

-User-level experience in a Unix-based environment.

-Familiarity with extracting data through SQL.

-Strong writing skills to assist in sharing our knowledge with the public.

-Demonstrable knowledge of several of the following areas: cybersecurity concepts, network protocols, firewalls, IDS/IPS systems, cyber threat hunting, malware analysis tools and techniques, cyber threat intelligence, common threat actor TTPs, application security concepts, cloud security fundamentals.

Well experienced candidates may also have the following skills:

-Previous work experience with Department of Defense (DoD), Intelligence Community, or other government agencies (e.g., DHS, DOE, VA, etc.)

-Experience with Spark and distributed computing

-Experience developing automation and analysis in Python-based environments.

-Ability to work with others in providing direction and assisting in learning new topics.

Preferred:

-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.

Compensation

This information reflects the anticipated base salary range for this position based on current national data. Minimums and maximums may vary based on location. Individual pay is based on skills, experience and other relevant factors

Location Based Pay Ranges:

$129,639 - $172,852 in these states: AL, AR, AZ, FL, GA, IA, ID, IN, KS, KY, LA, ME, MO, MS, MT, ND, NE, NM, OH, OK, PA, SC, SD, TN, UT, VT, WI, WV, and WY.

$136,121 - $181,494 in these states: CO, HI, MI, MN, NC, NH, NV, OR, and RI.

$142,603 - $190,137 in these states: AK, CA, CT, DC, DE, IL, MA, MD, NJ, NY, TX, VA, and WA

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Lumen offers a comprehensive package featuring a broad range of Health, Life, Voluntary Lifestyle benefits and other perks that enhance your physical, mental, emotional and financial wellbeing. We're able to answer any additional questions you may have about our bonus structure (short-term incentives, long-term incentives and/or sales compensation) as you move through the selection process

Learn more about Lumen's:

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Background Screening

If you are selected for a position, there will be a background screen, which may include checks for criminal records and/or motor vehicle reports and/or drug screening, depending on the position requirements. For more information on these checks, please refer to the Post Offer section of our FAQ page ( . Job-related concerns identified during the background screening may disqualify you from the new position or your current role. Background results will be evaluated on a case-by-case basis.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Equal Employment Opportunities

We are committed to providing equal employment opportunities to all persons regardless of race, color, ancestry, citizenship, national origin, religion, veteran status, disability, genetic characteristic or information, age, gender, sexual orientation, gender identity, gender expression, marital status, family status, pregnancy, or other legally protected status (collectively, "protected statuses"). We do not tolerate unlawful discrimination in any employment decisions, including recruiting, hiring, compensation, promotion, benefits, discipline, termination, job assignments or training.

Disclaimer

The job responsibilities described above indicate the general nature and level of work performed by employees within this classification. It is not intended to include a comprehensive inventory of all duties and responsibilities for this job. Job duties and responsibilities are subject to change based on evolving business needs and conditions.

In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.

Please be advised that Lumen does not require any form of payment from job applicants during the recruitment process. All legitimate job openings will be posted on our official website or communicated through official company email addresses. If you encounter any job offers that request payment in exchange for employment at Lumen, they are not for employment with us, but may relate to another company with a similar name.

Application Deadline

10/08/2025