
1001 - 5000 employees
Founded 2015
đź’Ľ Consulting
🏥 Healthcare
🤖 Artificial Intelligence
Consulting • Healthcare • Artificial Intelligence
Verily is an AI-native precision health platform that develops and deploys clinical and research-focused software and AI models to make healthcare more predictive, preventive, and precise. Its offerings include consumer-facing tools like Verily Me for personalized health guidance and clinician support, care solutions that personalize member engagement and goal-setting, and research products that curate and standardize multimodal clinical and real-world data (FHIR-native) to accelerate trials and insights. The company emphasizes clinical and regulatory safety in building AI for care and research workflows.
🔥 0 minutes ago
🏄 California, North Carolina, +2 more states – Remote
đź’µ $174.5k - $196k / year
⏰ Full Time
đźź Senior
🛡️ Security Operations
🦅 H1B Visa Sponsor
đź‘» Ghost score 1%
Where this job comes from
Posted on Verily's careers page, not through a job board
First seen by Remote Rocketship 0 minutes ago

1001 - 5000 employees
Founded 2015
đź’Ľ Consulting
🏥 Healthcare
🤖 Artificial Intelligence
Consulting • Healthcare • Artificial Intelligence
Verily is an AI-native precision health platform that develops and deploys clinical and research-focused software and AI models to make healthcare more predictive, preventive, and precise. Its offerings include consumer-facing tools like Verily Me for personalized health guidance and clinician support, care solutions that personalize member engagement and goal-setting, and research products that curate and standardize multimodal clinical and real-world data (FHIR-native) to accelerate trials and insights. The company emphasizes clinical and regulatory safety in building AI for care and research workflows.
• Advance cloud detection and response capabilities across Google Cloud Platform (GCP) and AWS. • Design, test, deploy, and continuously improve detections for complex cloud threats, including identity and access abuse, suspicious application activity, data exposure, and container and Kubernetes attacks. • Drive proactive threat hunting and cloud asset discovery initiatives to identify visibility gaps and prioritize detection coverage across multi-cloud environments. • Own end-to-end telemetry pipelines that collect, parse, normalize, and enrich cloud audit, network, and application logs while balancing investigative value, retention, data protection, and cost efficiency. • Apply Site Reliability Engineering (SRE) principles to telemetry and detection services, establishing SLOs/SLIs for data freshness, availability, and completeness. • Build actionable alerting, recovery procedures, and capacity plans. • Develop software, Infrastructure as Code (IaC), and automated workflows to reduce manual toil and technical debt. • Enforce code review, automated testing, version control, and CI/CD deployment practices for detection content. • Partner with Cloud Infrastructure, Platform, and Product Engineering teams to develop robust security controls. • Provide broad technical ownership, lead cross-functional initiatives, and mentor engineers across the organization.
• Bachelor's degree in Computer Science, Cybersecurity, Information Systems, Engineering, or equivalent practical experience. • 8+ years of professional experience in security engineering, site reliability engineering, platform engineering, or security operations with production cloud systems. • Deep technical expertise securing Google Cloud Platform (GCP) or Amazon Web Services (AWS), with a strong focus on IAM, VPC networking, cloud logging, and containerized workloads. • Hands-on experience developing security detection logic, investigating threats, and engineering security telemetry within an enterprise SIEM or modern analytics platform. • Demonstrated experience with Infrastructure as Code (e.g., Terraform), CI/CD pipelines, distributed systems troubleshooting, and production observability. • Advanced expertise with native GCP security services alongside multi-cloud operations across AWS and Azure. • Hands-on experience engineering high-volume log ingestion pipelines, custom parsers, and threat detections using CrowdStrike Falcon Next-Gen SIEM, Humio/LogScale, or modern big data platforms (BigQuery, Snowflake). • Experience designing and implementing security controls within healthcare, life sciences, or heavily regulated environments subject to HIPAA, NIST frameworks, or CIS benchmarks. • Proven experience securing Kubernetes clusters (GKE/EKS), container runtimes, web applications, and AI/ML workloads incorporating Large Language Models (LLMs). • This role is eligible for Verily-sponsored immigration support.
• Bonus • Benefits • Verily-sponsored immigration support
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