Top Cybersecurity Jobs in CO

Leads a team building device intelligence and reverse-engineering capabilities for xOT cybersecurity products. Sets technical strategy for device and protocol coverage, establishes documentation and testing standards, drives automation and AI-assisted development, collaborates cross-functionally, supports customer deployments and incident response, and remains hands-on with code reviews, design reviews, and production debugging. The role also owns hiring, mentoring, team growth, and engineering community development.

Serve as a technical bridge between Dragos and federal customers by understanding mission requirements, designing cybersecurity solutions, conducting demonstrations, supporting sales activities, managing proof-of-concept deployments, troubleshooting issues, and responding to proposals and technical inquiries. The role requires federal procurement knowledge, cybersecurity and ICS/OT expertise, active Top Secret clearance, and regular travel up to 50%.

Leads Dragos Public Sector’s post-sales technical team, mentoring subject matter experts and driving customer adoption, operationalization, and measurable platform value. The role manages customer escalations, stakeholder relationships, product feedback, roadmap advocacy, team processes, performance metrics, and AI-enabled improvements. It requires industrial cybersecurity expertise, SIEM experience, advanced network traffic analysis, U.S. citizenship, and willingness to travel up to 25%.

Lead OT security monitoring and triage operations, investigate suspicious activity across industrial networks, tune detections, manage vulnerabilities and asset classification, and escalate findings to incident responders and threat hunters. Produce customer-facing reports, support platform operations, mentor analysts, and collaborate across cybersecurity teams. The role requires shift-based coverage, remote coordination, and expertise in network security with a strong interest in ICS/OT environments.

Lead large-scale Linux sensor platform initiatives for high-performance OT and ICS network monitoring. Design and improve packet ingestion, capture pipelines, queue management, broker integration, observability, and reliability. Own production root cause analysis, postmortems, performance benchmarks, and durable fixes. Translate business goals into technical plans, establish engineering standards, mentor team members, and guide architecture across the sensor codebase.

Develop and validate high-fidelity threat detections and asset-identification analytics for industrial control system environments. Analyze threat intelligence, packet captures, host logs, network and device artifacts, and large datasets to identify adversary behaviors. Mentor detection engineers, review and triage detection requests, document analytics processes, and partner with engineering and quality teams to address platform gaps. Support ICS cyber-range activities and contribute to detection testing, tuning, and knowledge-base maintenance.

Design and maintain data pipelines, models, and transformation layers for analytics. Build data contracts, observability and lineage tooling, collaborate with product engineering, and optimize data structures for performance and scalability.

Lead and grow a data engineering team building and modernizing the core data platform for cybersecurity products. Define technical strategy and data models, ensure data quality for detection and analytics, champion AI-assisted engineering, oversee production support and incident response, collaborate with cross-functional teams, and drive hiring and best practices to deliver scalable, high-performance data pipelines and storage.

Design and implement scalable data integrations and transformation layers for cybersecurity products. Build data contracts, dimensional/incremental models, observability, and lineage tooling. Collaborate with product engineering to integrate SIEMs (Sentinel, Splunk) and deploy cloud/on-prem solutions on Kubernetes/Docker, processing medium-to-large datasets and stream/message systems.

Lead and grow the Backend Engineering team building microservice-based platform components for streaming data ingest, detection processing, baseline learning, asset reconciliation, and core platform APIs. Mentor engineers, collaborate with tech leads and product managers, provide technical design input, support production deployments, and occasionally contribute to development and troubleshooting.