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Garner HealthGarner HealthUnited States

Security Analyst II

Security Analyst managing SecOps/SOC, threat monitoring, incident response, and log analysis using Wiz, Datadog, SQL across Kubernetes/AWS. Builds automated security controls with Python/Go/TypeScript and leverages LLMs for analytics; requires 2+ years SOC experience.

117k – 130k
Remote2+ YOESecurity Engineering

About the role

Responsibilities

  • Independently manage day-to-day security operations (SecOps/SOC), including threat monitoring and incident triage with intense urgency.
  • Conduct systematic reviews of system logs and alerts using Wiz and Datadog to uncover root causes and solve for underlying vulnerabilities.
  • Use LLMs (like Claude) to interrogate the health of services and automate security-based data analytics at scale.
  • Navigate hundreds of Kubernetes clusters and disparate data sources to find the "signal in the noise" using SQL and Boolean logic.
  • Build and implement security controls and automated responses within the AWS ecosystem using Python, Go, or TypeScript.
  • Convey technical findings and forensic research concisely to engineering and product teams with clear, actionable remediation steps.
  • Own the execution of recurring compliance tasks and documentation, ensuring all security deliverables are error-free and meet regulatory standards.
  • Identify opportunities to automate manual security checks, moving the team toward a more proactive security engineering model over time.

Requirements

  • 2+ years of experience in Security Operations, SOC, or a related field, preferably within a scaling startup.
  • Proven experience in incident response, including triage, investigation, and resolution in high-pressure environments.
  • Hands-on experience with security and observability tools such as Wiz and Datadog, particularly from a forensic or MTDR perspective.
  • Strong SQL skills and demonstrated ability to analyze large, complex datasets across distributed systems.
  • Experience identifying patterns and extracting meaningful insights from high-volume data (“signal vs. noise”).
  • Familiarity with on-call rotations and a willingness to participate as needed.
  • Experience or demonstrated interest in leveraging AI/LLMs (e.g., Claude) for data analysis, troubleshooting, or system interrogation.

Technologies

  • Wiz, Datadog, Cyberhaven, Claude, Snowflake, SQL, AWS, Terraform, Kubernetes, Python, Go, TypeScript.

Compensation

  • Target salary range: $117,000 - $130,000.
  • Eligible for equity incentive and competitive benefits plans, including flexible PTO, Medical/Dental/Vision, 401(k), Teladoc Health and more.

Skills

WizDatadogKubernetesSQLAWSPythonGoTypeScriptTerraformSnowflakeClaudeCyberhaven
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