Top Tech Jobs & Startup Jobs in Denver & Boulder, CO

Own Tier 3 escalations and incident response for complex customer issues involving a cybersecurity platform. Investigate distributed systems, reproduce defects, coordinate resolutions with engineering and product teams, and build Datadog observability dashboards, monitors, and alerts. Create runbooks, troubleshooting guides, RCAs, and postmortems; mentor support staff; identify recurring failure patterns; communicate with customers; and participate in an application-layer on-call rotation.

Lead partner marketing strategy and execution to drive sourced and influenced pipeline. Manage MDF, co-marketing, ABM-aligned partner programs, enablement assets, partner engagement, and measurement in collaboration with demand generation, field marketing, and partner teams.

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.

Designs and manages scalable data pipelines, contracts, transformation layers, and analytics models. The role focuses on data governance, observability, lineage, configuration validation, and collaboration with product engineering teams. It requires processing large datasets, integrating cloud and on-premises industrial technologies, and implementing streaming and message-queuing solutions, ideally in cybersecurity or industrial environments.

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 ICS/OT adversary hunting for assigned threat groups; author intelligence products; conduct proactive and reactive hunts using telemetry and file-analysis tools; use Synapse and Storm Query Language to model and automate investigations; support incident response surge events; mentor peers; collaborate cross-functionally and represent Dragos externally.

Oversee indirect tax compliance across multiple jurisdictions, including Sales & Use, VAT, GST, and gross receipts filings. Reconcile tax liability accounts, prepare journal entries, support audits, manage exemption certificates, and maintain Avalara tax software integrated with the ERP system. Research tax issues related to business expansion and product launches, manage service providers, improve processes, and collaborate with finance and cross-functional teams to meet compliance deadlines.

Plans, deploys, configures, and supports the Dragos Platform in customer industrial environments. Designs network architecture and sensor placement, leads onsite and remote implementations, troubleshoots integrations, manages upgrades and patches, supports ICS/OT security operations, collaborates on investigations, and produces technical documentation. The role requires strong networking, Linux, scripting, SIEM, cloud, and industrial cybersecurity expertise, an active Secret clearance, and up to 30% travel.

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.