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CT
Senior Logging & Detection Engineer
Posted 4 months ago
About the role
- Lead the technical direction of detection capabilities in a fast-growing legal AI company. Drive security analytics and logging engineering for legal professionals across multiple platforms.
Responsibilities
- Lead the design and implementation of sophisticated, production-ready detection rules and queries across the ELK stack, security data lakes, and multi-cloud logging platforms.
- Architect and optimize complex search queries, aggregations, and analytics dashboards for high-velocity security monitoring, focusing on performance and cost efficiency.
- Design and build automated detection and response workflows (SOAR), ensuring seamless and reliable integration with critical incident response systems.
- Serve as the primary liaison with the threat intelligence team, developing and owning the framework to translate intelligence into scalable, actionable detection capabilities (e.g., MITRE ATT&CK coverage).
- Establish and maintain a robust detection rule library, query templates, and lead the creation of security analytics playbooks for the wider team.
- Drive performance optimization and resource utilization strategies across petabyte-scale log datasets, including index design and data tiering.
- Develop and standardize custom visualizations, dashboards, and executive reporting capabilities for security stakeholders.
- Lead complex threat hunting operations, mentor junior team members on investigative techniques, and proactively refine detection logic to achieve near-zero false positive rates.
- Collaborate closely with the platform team to define the logging architecture roadmap based on future detection requirements and security observability goals.
- Proactively research emerging threats and attack patterns, translating novel techniques into strategic, forward-looking detection logic and advising security leadership.
Requirements
- Senior-level expertise building and scaling enterprise-grade detection capabilities and security monitoring systems.
- Expert-level query language proficiency in at least two of the following: Elasticsearch/Lucene, SQL, KQL (Kusto), or SPL (Splunk), demonstrating advanced optimization techniques.
- Extensive Detection Engineering experience owning the full lifecycle of rules, alerts, and automated response workflows within a SIEM/SOAR environment.
- Advanced log analysis skills across diverse, large-scale data sources, including multi-cloud logs (AWS, Azure, GCP), network flows, and advanced security tool outputs.
- Deep dashboard and visualization expertise with tools like Kibana, Grafana, or Tableau, specifically for security metrics and executive reporting.
- Proven expertise in leading threat hunting efforts using log data to proactively identify and track sophisticated threats and anomalous behavior across the environment.
- Senior-level scripting and automation abilities (Python/Go/PowerShell), used to build custom tools, manage APIs, and drive detection automation at scale.
- Architectural experience integrating and optimizing SIEM platforms, SOAR tools, and security orchestration systems.
- Expert performance optimization skills covering query tuning, index design, data partitioning, and overall resource-efficient analytics on big data.
- Significant incident response experience providing expert-level technical analysis and forensic support during major security incidents.
- Demonstrate a keen interest in improving your craft by using AI.
Benefits
- Competitive, equitable salary with top-tier health benefits, dental, and vision insurance
- Hybrid work environment, with expectation for local Clions (Vancouver, Calgary, Toronto, Dublin, London, New York City and Sydney) to be in office min. twice per week.
- Flexible time off policy, with an encouraged 20 days off per year.
- $2000 annual counseling benefit
- RRSP matching and RESP contribution
- Clioversary recognition program with special acknowledgement at 3, 5, 7, and 10 years
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