Senior Lead Threat Analyst (Black Lotus Labs

Location: WORKS FROM HOME, MD, US WORKS FROM HOME, DC, US WORKS FROM HOME, VA, US Remote, 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 Senior Lead Security Engineer that will leverage Lumen’s unique visibility to hunt, investigate, and scale discovery of evolving malicious threats, provide mission-relevant intelligence, and support mitigations on large networks. 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 integrate machine learning, graph analytics, automation, and approved AI-enabled tools 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, 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 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.
• Use approved AI-enabled tools to accelerate research, coding, data exploration, documentation, and knowledge discovery while validating outputs through independent analytical judgment.
• Develop 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 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…