Senior Cloud Platform Engineer

About the role

Within Schwab Data’s Data Services team, you will play a meaningful role in shaping the next generation of cloud and AI capabilities that power enterprise-scale analytics. You will apply your expertise to design and build core cloud service modules on Google Cloud that support AI/ML and data platforms, enabling resilient, scalable, and secure solutions.

Responsibilities

• Collaborate closely with architects, site reliability engineers, and engineering leaders to implement modern cloud service engineering practices, improve delivery velocity, and influence enterprise standards.
• Work on designing and building core cloud service modules on Google Cloud that support AI/ML and data platforms, ensuring solutions are resilient, scalable, and secure.
• Apply your knowledge of cloud infrastructure provisioning and management to support secure, multi-tenant, enterprise-scale environments.
• Develop reusable platform accelerators, templates, or SDKs that enable faster onboarding and delivery across teams.
• Implement and maintain CI/CD pipelines to support automated testing, deployment, and lifecycle management.
• Collaborate cross-functionally with architects, SRE teams, and engineering partners to support platform reliability and consistency.
• Deepen your expertise in cloud platform engineering, automation, and AI-enabled data services while contributing to a highly visible and evolving space within Schwab.

Requirements

• Hands-on experience developing and enabling cloud service modules for Google Cloud Platform (GCP) environments (e.g., BigQuery, Dataflow, Dataproc, Composer, Vertex AI), with focus on scalability and operational resilience.
• Experience building and maintaining CI/CD pipelines to support automated testing, deployment, and lifecycle management.
• Strong understanding of cloud infrastructure provisioning and management to support secure, multi-tenant, enterprise-scale environments.
• Experience applying engineering, security, and compliance standards, including governance, audit readiness, and risk controls.
• Demonstrated ability to troubleshoot and optimize distributed platform components, including resolving dependencies, performance issues, and breaking changes.
• Experience using Infrastructure-as-Code tools (e.g., Terraform) to automate environment configuration and deployment.
• Proven ability to collaborate cross-functionally with architects, SRE teams, and engineering partners to support platform reliability and consistency.

Preferred Qualifications

• Experience developing reusable platform accelerators, templates, or SDKs that enable faster onboarding and delivery across teams.
• Familiarity with AI/ML platform integration patterns and supporting advanced analytics or generative AI use cases.
• Knowledge of FinOps practices and cloud cost optimization strategies.
• Strong communication and influencing skills to align stakeholders and drive adoption of platform standards.
• Ability to proactively identify technical risks and recommend scalable, compliant solutions in complex or regulated environments.

Benefits

• 401(k) with company match and Employee stock purchase plan.
• Paid time off for vacation, volunteering, and 28-day sabbatical after every 5 years of service for eligible positions.
• Paid parental leave and family building benefits.
• Tuition reimbursement.
• Health, dental, and vision insurance.