SR LEAD INFORMATION SECURITY ENGINEER
Role details
Job location
Tech stack
Job description
- 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.
Requirements
- 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.
- Ability to rapidly develop proficiency in unfamiliar technical domains through foundational analytical skills, self-directed learning, and effective use of AI-assisted research and problem-solving tools.
- Ability to use AI-enabled tools responsibly to augment technical research, analysis, coding, documentation, and report development while maintaining professional skepticism and analytical rigor.
- Ability to evaluate, challenge, and validate AI-generated outputs before using them in customer-facing analysis, findings, or recommendations.
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.
- Experience using generative AI, AI-assisted coding, retrieval-augmented analysis, or agent-based workflows in cyber research, threat hunting, or intelligence production.
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.
- Demonstrated ability to responsibly leverage AI-enabled tools within a regulated or mission-focused environment while maintaining data protection requirements, analytical integrity, and human accountability for findings and recommendations
Benefits & conditions
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
$132,232 - $176,310 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 WY
$138,844 - $185,124 in these states: CO HI MI MN NC NH NV OR RI
$145,456 - $193,940 in these states: AK CA CT DC DE IL MA MD NJ NY TX VA WA
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:
Benefits (https://jobs.lumen.com/global/en/benefits-statement)
Bonus Structure
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