Cloud Architect

• Architectural Design: Design and document robust, secure, and cost-optimized cloud architecture on GCP, utilizing services like Compute Engine, GKE, Cloud Functions, Cloud SQL, BigQuery, and Cloud Storage.

• Infrastructure Automation (IaC): Develop, maintain, and manage our cloud infrastructure using Terraform. This includes defining networking, security groups, compute resources, and data services in a declarative manner.

• SaaS Integration: Lead the technical implementation and integration of various Software as a Service (SaaS) applications (e.g., Salesforce, ServiceNow, monitoring platforms) with our core GCP services, ensuring secure data exchange and seamless workflow automation.

• Security & Compliance: Implement and enforce GCP security best practices, including IAM policies, network security (VPC, Firewall Rules, VPNs), encryption, and compliance with industry standards.

• Optimization: Monitor, analyze, and optimize the performance, scalability, and cost efficiency of assigned platforms.

Minimum Qualifications 

• Cloud Infrastructure Expertise: 8+ years of experience with deep knowledge of the core cloud services, including Networking (VPC, interconnect), Compute (containers, virtual machines), Data Services, and Security/IAM.

• Terraform Mastery: Expert-level proficiency in Terraform for provisioning and managing IaaS resources, including writing custom modules and managing state in a collaborative environment.

• SaaS Integration Focus: Strong experience in designing and implementing secure integrations between public cloud technologies and third-party SaaS platforms (using APIs, OAuth, service accounts, etc.).

• Scripting: Proficiency in scripting languages (e.g., Python, Bash) for automation tasks.

Preferred Qualifications

• GCP Professional Cloud Architect certification is highly preferred.

• Knowledge of application monitoring and logging tools (e.g., Prometheus, Grafana, Cloud Logging/Monitoring).

• Familiarity with containerization technologies beyond GKE, such as Docker and Cloud Run.

• Operational experience with AI technologies such VertexAI and Agentic concepts is a plus.

• Excellent communication skills (written and verbal) and the ability to articulate complex technical concepts to non-technical stakeholders.

Qualified applicants must not require employer sponsored work authorization now or in the future for employment in the United States.

The US base salary range for this full-time position is $104,000 - $148,000 + 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 Life Sciences LLC 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.