Responsibilities
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, 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 while building actionable alerting, recovery procedures, and capacity plans.
Develop software, Infrastructure as Code (IaC), and automated workflows to reduce manual toil and technical debt, enforcing code review, automated testing, version control, and CI/CD deployment practices for detection content.
Qualifications
Minimum Qualifications
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.
Preferred Qualifications
Advanced expertise with native GCP security services (Cloud Audit Logs, VPC Flow Logs, Security Command Center Enterprise, Cloud Armor) 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.
The US base salary range for this full-time position is $174,500 - $196,000 + bonus + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, or benefits.
Verily Health Inc is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here.
If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
