Lead Threat Analyst (Black Lotus Labs

Location: WORKS FROM HOME, MD, US WORKS FROM HOME, DC, US WORKS FROM HOME, VA, US

Company: Lumen Technologies

Lumen is the trusted network for the AI-powered world, connecting people, data, and applications through our expansive fiber network and connected ecosystem. We enable secure, high-performance connectivity across cloud, edge, and AI workloads for enterprises, governments, and communities.

At Lumen, you’ll work on infrastructure customers rely on today and build for what’s next, where performance, security, and resilience matter.

This is a high accountability environment where bold ideas drive real innovation for our customers, partners, and industry. The work is challenging, expectations are clear, and trust is built into how we operate. If you’re ready to take ownership, deliver meaningful impact, and help shape the future of AI‑ready connectivity, join us today.

Black Lotus Labs has an opening for a Lead Information Security Engineer who will support threat hunting, investigation, and discovery of evolving malicious activity using Lumen’s unique network visibility, analytic platforms, and approved AI-enabled tools. Our global visibility into one of the world’s largest and most interconnected IP backbones, combined with our computing cluster and analytic platforms, presents exciting opportunities to apply machine learning, graph analytics, automation, and AI-enabled tools to help identify 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 support investigations into evolving threats using technologies like our Hadoop ecosystem (HBase, HDFS, Spark, Kafka, Air Flow), Elasticsearch and Redis clusters, Docker using Docker Swarm, malware environment, a network of honeypots, and modern AI-assisted research and development capabilities.

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.

This is a hybrid position with customer travel in the MD area approximately 1 to 2 times per week.

• Research attacker tools, techniques, and procedures (TTPs) and contribute to analytic approaches that support automated detection.
• Work with cyber operators and senior researchers, when requested, to support investigations into cyber threat activity and assist with mitigation guidance.
• Support automation of investigations through Python scripting, data analysis, and visualization in Jupyter Notebooks and Grafana.
• Build and maintain collaborative relationships with internal intelligence teams, law enforcement, and outside groups.
• Support customer RFIs on incidents and emerging threats with guidance from senior team members as needed.
• Use approved AI-enabled tools to assist with research, coding, data exploration, documentation, and knowledge discovery while validating outputs through sound analytical judgment.
• Contribute to repeatable workflows that combine analyst expertise, automation, and AI-assisted capabilities to improve investigative efficiency and analytical quality.

• Candidates must effectively communicate complex domain-specific concepts, ensuring clarity for both technical and non-technical audiences.
• Familiarity with adversary capabilities, infrastructure, and techniques, with the ability to apply that knowledge in collaboration with supporting teams and partners.
• Experience using OSINT methods for investigation, including discovering novel threats in malware repositories.
• Scripting experience with Python and familiarity with large-scale or distributed data analysis concepts.
• Experience supporting cyber threat hunting, security investigations, or analysis of suspicious activity using structured data sets.
• Familiarity with network-based threats and…