Sobre este puesto de Security Vulnerability Engineer (R-00224) en Truezerotech
True Zero is seeking a Security Vulnerability Engineer to lead the design, development, and
operation of advanced vulnerability management and threat-detection capabilities across
secure, mission-critical environments. This is a senior technical role for an engineer who pairs
hands-on expertise in security analytics, detection engineering, and predictive risk modeling
with the judgment to guide teams, engage clients, and deliver production-grade, responsibly
governed security solutions.
The ideal candidate brings a track record of directing security and analytics initiatives across
national security and highly regulated environments — combining technical depth in threat
detection and predictive modeling with the strategic acumen to reduce operational risk, minimize
exposure, and enable data-driven decision-making at the command level. This engineer will
configure data pipelines, establish security telemetry ingestion processes, and implement
predictive components that analyze five or more years of historical incident and vulnerability
data to generate time- and location-based risk forecasts that are operationally meaningful to
command staff and field leadership
Job Responsibilities
enterprise systems; develop and tune detection logic and analytics that meet defined
performance and coverage standards.
enrichment systems that analyze large volumes of unstructured security telemetry, logs,
and threat-intelligence data.
vulnerability analytics, and emerging defensive technologies.
ingestion processes and implement predictive components that analyze five or more years
of historical incident and vulnerability data to generate time- and location-based risk
forecasts.
existing SIEM, ticketing, and operational systems to ensure seamless data flow and
usability within current workflows; collaborate with cross-functional teams, including work
within the STRIDE platform.
reliability across security tooling; assess detection and forecast accuracy, ensure
alignment between predicted and observed threat patterns, and verify outputs are
operationally meaningful for command staff and field leadership.
vulnerability-analytics performance; identify optimization opportunities and tune for scale,
efficiency, and low false-positive rates in cloud environments.
scanners, AWS security services, TensorFlow, PyTorch) and custom frameworks for
specialized detection applications.
monitoring, and lifecycle management of detections, analytics, and models.
Job Qualifications
detection engineering, spanning design, evaluation, and deployment.
background investigation.
frameworks, scripting/automation (Python), and major cloud platforms; familiarity with
PyTorch, TensorFlow, Keras, Hugging Face, LangChain, and API-driven tooling for
analytics is a strong plus.
(Pinecone, Weaviate, Qdrant, Chroma), and retrieval-based analysis architectures for
security use cases.
and hands-on experience with analytics and automation tooling.
benchmarking, and deployment