MITRE Corporation - McLean, VA

posted 3 months ago

Full-time - Mid Level
McLean, VA
Professional, Scientific, and Technical Services

About the position

At MITRE, we are dedicated to addressing our nation's most pressing challenges while ensuring our employees lead fulfilling lives. As a not-for-profit corporation, we operate without commercial conflicts, focusing solely on the public interest. Our R&D centers work across various sectors, including cybersecurity, healthcare, aviation, defense, and enterprise transformation, making a significant impact on society. We are committed to creating a safer, healthier, and more secure world, and our workplace culture reflects our core values of diversity, inclusion, flexibility, collaboration, and career growth. The Senior Cyber Analytics Engineer will be part of the MITRE InfoSec team, which oversees the unclassified information security program. This role is situated within the Operations team of the Defensive Innovation Group, which is responsible for developing new methods and capabilities to protect MITRE from cyber adversaries. The ideal candidate will be motivated and possess a strong interest in advancing cybersecurity defenses against sophisticated threats. In this position, you will be tasked with developing new capabilities to enhance MITRE InfoSec's ability to prevent, detect, and respond to cyber threats. You will leverage machine learning to identify novel attacks and utilize automation platforms to improve detection and response times. Additionally, you will analyze data from various sources, including cloud, server, endpoint, and network data, to identify signs of intrusion and automate daily tasks to enhance the efficiency of the Security Operations Center (SOC).

Responsibilities

  • Develop new capabilities to enhance MITRE InfoSec's ability to prevent, detect, and respond to cyber threats.
  • Leverage machine learning to detect new and novel attacks.
  • Use automation platforms to enhance detection and accelerate response to cyber threats.
  • Develop analytics from cloud, server, endpoint, and network data to detect signs of intrusion.
  • Automate daily tasks to improve SOC's efficiency and effectiveness.

Requirements

  • Bachelor of Science (or equivalent experience) in Cybersecurity, Software Engineering, Computer Science, Computer Engineering, or related engineering disciplines and 5 years of related experience in defensive cybersecurity operations, cyber incident response, analytic development, capability development, or software engineering.
  • Proficiency in Python or comparable modern language.
  • Ability to obtain and maintain a DoD Secret clearance.

Nice-to-haves

  • Master of Science (or equivalent experience) in Cybersecurity, Software Engineering, Computer Science, Computer Engineering, or related engineering disciplines and 4+ years of related experience in defensive cybersecurity operations, cyber incident response, analytic development, capability development, or software engineering.
  • Active Secret clearance.
  • Machine Learning/Artificial Intelligence experience.
  • Use of ML/AI tools or libraries, e.g. PyTorch, Pandas, Scikit-learn, TensorFlow, or Splunk MLTK.
  • Development of ML-based detections or analytics.
  • Cloud Development experience.
  • Amazon Web Services, Azure, M365.
  • Interfacing with cloud services via API.
  • Deploying capabilities on IaaS, PaaS, or SaaS platforms.
  • Experience building cloud cybersecurity analytics or response capabilities.
  • Experience with Security, Orchestration, Automation and Response (SOAR) tools.
  • Experience developing on Splunk platform.

Benefits

  • Competitive benefits
  • Exceptional professional development opportunities
  • Culture of innovation that embraces diversity, inclusion, flexibility, collaboration, and career growth
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