Detection Engineer, Security Operations & Telemetry

Saronic; Austin (TX); On-site; Full time

Job description

Requirements

• We're seeking a Security Engineer on our Security Operations team with strong detection engineering experience
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• 3+ years of hands-on experience in detection engineering, security operations, security automation, or a closely related security engineering role
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• Demonstrated experience designing, testing, and tuning detection rules and analytic queries across production security telemetry (endpoint, cloud, network, identity, or DLP)
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• Hands-on experience with SIEM platforms and proficiency with query languages such as SPL, KQL, or equivalent
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• Experience building and operating security data pipelines, including log ingestion, normalization, enrichment, and data quality management
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• Understanding of data engineering concepts including ETL pipelines, data modeling, schema design, and indexing as applied to security telemetry
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• Hands-on coding experience in Python, PowerShell, Go, or Rust for security automation, detection tooling, or pipeline development, and familiarity with Terraform for managing detection and logging infrastructure as code
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• Understanding of MITRE ATT&CK framework and its application to detection coverage and gap analysis
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• Ability to obtain and maintain a security clearance
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• (Desirable) Experience in defense, aerospace, robotics, autonomy, or other high-assurance environments
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• (Desirable) Experience with EDR platforms including custom detection rule creation and telemetry analysis
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• (Desirable) Experience with cloud-native detection in AWS and Microsoft 365/Azure
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• (Desirable) Experience using Terraform to deploy and manage security monitoring infrastructure, log pipeline components, or cloud-native security service configurations
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• (Desirable) Hands-on experience with incident response, threat hunting, or adversary emulation
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• (Desirable) Exposure to embedded Linux, operational technology, or ICS telemetry and detection
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• (Desirable) Familiarity with NIST SP 800-171, NIST SP 800-53, or CMMC and their logging and monitoring requirements
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• (Desirable) Relevant certifications such as GCIH, GCIA, GCDA, GSOM, OSDA, or OSCP

What the job involves

• You'll design and develop high-fidelity detection content, build and operate the data pipelines that power our security operations, develop automation playbooks that accelerate response, and work across a uniquely diverse telemetry landscape spanning cloud infrastructure, embedded vessel platforms, corporate systems, and operational technology
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• This role is heavily weighted toward detection engineering
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• You should think in terms of adversary behavior and telemetry coverage, not just alert triage
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• You'll own detections end-to-end: from identifying gaps in coverage, through designing and testing detection logic, to tuning and validating in production
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• Design, build, test, and tune high-fidelity detection rules and analytic queries across endpoint, cloud, network, identity, and DLP telemetry sources
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• Develop and maintain detection content using detection-as-code practices including version-controlled logic, automated testing, and CI/CD deployment
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• Map detection coverage to MITRE ATT&CK, identify gaps, and prioritize new detection development based on threat intelligence and business risk
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• Engineer correlation rules, behavioral analytics, and anomaly-based detections that minimize false positives while surfacing real adversary tradecraft
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• Own the detection lifecycle from initial development through production tuning, performance monitoring, and retirement
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• Build and operate pipelines to ingest, normalize, enrich, and manage security telemetry at scale across diverse data sources, using Terraform and infrastructure-as-code practices to deploy and maintain logging and detection infrastructure
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• Design and maintain log collection, parsing, and enrichment configurations that ensure the right telemetry is available at the right fidelity for detection and investigation
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• Evaluate and onboard new telemetry sources as Saronic's infrastructure and threat landscape evolve
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• Monitor pipeline health, data quality, and ingestion reliability to ensure detections operate on complete and accurate data
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• Develop and manage automated response playbooks in SOAR platforms to accelerate containment and reduce analyst toil
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• Build automation that enriches alerts with contextual data, reducing investigation time and improving analyst decision-making
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• Support incident response efforts and translate lessons learned into improved detections and playbooks
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• Partner with SOC analysts, Cloud Security, Product Security, and IT teams to close visibility and detection gaps across environments
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• Collaborate with threat intelligence to ensure detection engineering is informed by current adversary TTPs relevant to defense, maritime, and autonomous systems