Security Analytics Engineer
Role Overview
The Security Analytics Engineer designs, operates, and continuously improves the organization's security telemetry, analytics, detection engineering, and observability capabilities. The role provides the data and analytics foundation used by Security Operations while extending traditional SIEM capabilities through behavioral analytics, automation, AI-assisted correlation, and observability for autonomous and agentic systems.
Key Responsibilities
Design and operate scalable security analytics platforms and telemetry pipelines.
Integrate, normalize, enrich, and correlate telemetry from endpoint, identity, cloud, application, infrastructure, network, and AI-enabled systems.
Develop and tune behavioral detections, correlation logic, dashboards, and alerting strategies.
Translate threat intelligence, incidents, vulnerability findings, and offensive-security results into improved detection content.
Build observability for AI agents and autonomous workflows, including identity, tool usage, execution activity, and security-relevant behavior.
Apply AI-assisted techniques to log analysis, correlation, anomaly detection, enrichment, and investigation support.
Automate telemetry management and security workflows while maintaining appropriate human oversight and explainability.
Optimize SIEM and related systems platform reliability, data quality, performance, retention, and cost.
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Qualifications
Experience engineering SIEM, security analytics, detection, observability, or large-scale telemetry systems.
Strong knowledge of logging, event correlation, normalization, enrichment, and security data pipelines.
Experience developing detections, behavioral analytics, or correlation logic.
Experience integrating security telemetry from diverse enterprise and cloud environments.
Scripting or software-development experience and familiarity with APIs and Infrastructure-as-Code.
Understanding of modern cloud and distributed architectures.
Familiarity with security telemetry standards, MITRE ATT&CK, AI-assisted analytics, or observability of AI/agentic systems is preferred.
To provide greater transparency to candidates, we share base pay ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar-stage growth companies. Final offer amounts are determined by multiple factors, including candidate location, skills, depth of work experience, and relevant licenses/credentials, and may vary from the amounts listed below.
At Backblaze, we value being fair and good to our customers, partners, and employees. That’s why diversity, equity, and inclusion are at the core of our values. We are committed to fostering a workforce where all employees feel a sense of belonging regardless of race, ethnicity, nationality, gender, sexual orientation, age, religion, socio-economic status, ability, veteran status, and education. We believe that our dedication to cultivating a diverse workspace not only allows us to better serve our customers in over 175 countries, but further reinforces our commitment to doing the right thing. We are proud to be an Equal Opportunity Employer.
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