SR LEAD INFORMATION SECURITY ENGINEER

Lumen Technologies is a trusted network provider for the AI-powered world, focusing on secure connectivity for enterprises, governments, and communities. The role of SR Lead Information Security Engineer involves leveraging advanced threat intelligence and data science to track and analyze sophisticated cyber threats, while building AI-assisted workflows to enhance security operations.

Responsibilities:

• Leverage global datasets (e.g., netflow, malware and passive DNS,) to track malicious cyber actors, their infrastructure, and campaigns. Build repeatable AI-assisted and automation-driven methods to accelerate detection, prioritization, and intelligence production
• Use technical knowledge of adversary capabilities, infrastructure, malware, and network behavior to define, develop, and implement techniques for tracking sophisticated adversaries and delivering actionable threat intelligence to Lumen customers
• Lead and enhance threat hunting operations by engaging with research, engineering, data science, and customer-facing teams; building strong partnerships; exploring new data sources; and collaborate with team members in AI-assisted workflow generation, automation design, and complex analytic problem solving
• Identify malicious activity in large-scale network, endpoint, DNS, routing, and enrichment data, and scale detection through Python-based automation, data pipelines, machine learning techniques, and AI-assisted analytic development
• Establish AI powered analytical workflows to automate and scale detections of adversary activity and tradecraft
• Provide actionable analysis and strategic insights into emerging threats, vulnerabilities, adversary infrastructure, and automation-derived findings, translating complex technical information into clear intelligence for executive leadership, customers, and external stakeholders

Requirements:

• Proven experience in threat analysis and in-depth technical security research, with a track record of identifying and tracking nation-state malicious infrastructure activity with an emphasis on network traffic analysis
• Fluency in advanced threat hunting methodologies, attacker tactics, techniques, and procedures (TTPs), and the ability to derive actionable threat hunts, detections, and intelligence requirements from complex data sets
• Experience with large-scale data analysis platforms with tools such as PySpark
• Experience with telemetry collection and analysis, including OSINT, proprietary endpoint and network data, DNS and routing data, TTP-based threat hunting, and/or threat hunt tooling that improves cross-organization visibility and supports public-private or multi-company collaboration
• Proven communication and presentation skills, including the ability to clearly and concisely convey complex technical findings, automation-derived insights, and intelligence judgments to technical, executive, customer, and partner audiences
• Experience designing or implementing AI-assisted workflows, LLM-enabled research tools, retrieval-augmented generation, analyst copilots, or human-in-the-loop automation for security or intelligence use cases
• Proficiency in malware reverse engineering and incident response
• Software development experience with Docker, distributed data technologies such as Hadoop or Spark, cloud AI services, vector databases, workflow orchestration, and machine learning frameworks such as TensorFlow or PyTorch
• Experience with agentic AI or workflow frameworks such as LangGraph, Semantic Kernel, AutoGen, CrewAI, MCP-based architectures, or comparable orchestration approaches
• Active TS/SCI