
51 - 200 employees
We believe in transparency, data-driven decision-making, and seamless customer experiences. That’s why we’re building solutions to help employees discover high-quality doctors. Our team includes healthcare operators, clinicians, engineers, and benefits experts, allowing us to develop solutions with a multidisciplinary approach.
🕒 May 12
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51 - 200 employees
We believe in transparency, data-driven decision-making, and seamless customer experiences. That’s why we’re building solutions to help employees discover high-quality doctors. Our team includes healthcare operators, clinicians, engineers, and benefits experts, allowing us to develop solutions with a multidisciplinary approach.
• 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.
• 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.
• flexible PTO • Medical/Dental/Vision plan options • 401(k) • Teladoc Health and more.
Apply Now🕒 May 8
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