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# Security Operations Tech Lead

- **Company:** Verily
- **Location:** Mountain View, CA, United States
- **Experience:** Expert
- **Salary:** $174,500.0 - $196,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Audit Trail, Automation of Tests, Microsoft Azure, Big Data, BigQuery, Cloud Computing, Code Review, Cyber Security, Information Systems, Continuous Integration, Data Security, Distributed Systems, Identity and Access Management, Parsing, Reliability Engineering, Site Reliability Engineering Practices, Security Information and Event Management, Software Engineering, Web Applications, Data Logging, Google Cloud, Cloud Platform System, Large Language Models, Snowflake, Multi-Cloud, Technical Debt, Infrastructure as Code (IaC), Amazon Virtual Private Cloud (VPC), Containerization, Kubernetes, Information Technology, Data Management, Machine Learning Operations, CIS Benchmarks, Terraform, Software Version Control
- **Published:** November 7, 2026
- **Apply:** https://www.careerbuilder.com/job-details/security-operations-tech-lead-mountain-view-ca--8de57b25-d2af-496a-a442-865152e7d17c

## About the Role

Technical Leadership, Technical Operations, Healthcare, Data Science, Information/Data Security (InfoSec), Government Organizations, Reliability Engineering, GCP (Good Clinical Practices), Cloud Computing, Technical Leadership, * 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).

## Description

The Security Operations Tech Lead will advance our cloud detection and response capabilities across Google Cloud Platform (GCP) and AWS. In this role, you will combine deep security expertise with software engineering and site reliability engineering practices to build reliable, scalable, and cost-efficient systems that protect our cloud infrastructure, applications, and sensitive health data.

As a hands-on technical leader within Security Operations, you will shape our cloud detection strategy, develop high-throughput security telemetry pipelines, and automate investigation and response workflows. You will partner closely with Cloud Infrastructure, Platform, and Product Engineering teams to turn an understanding of our systems and emerging threats into robust security controls. This individual contributor role offers broad technical ownership, cross-functional initiative leadership, and the opportunity to mentor engineers across the organization.

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.