Description

Your Opportunity

At Schwab, you're empowered to make an impact on your career. Here, innovative thought meets creative problem solving, helping us "challenge the status quo" and transform the finance industry together. Schwab Technology Services enables the future of how clients manage their money by providing innovative and reliable technology products and services as a part of our ongoing commitment to democratize access to investing and financial planning.

Join Schwab Data's Data Services team to help shape the next generation of Cloud and AI capabilities that power enterprise-scale analytics and innovation. In this role you will manage the full lifecycle of core data service modules, ensuring compliance and stability, and resilience across shared multi-tenant Cloud platforms. You'll focus on module dependency management, mandatory module enhancements, and alignment with evolving standards, working closely with architects and engineers to prevent service disruptions and streamline releases. This is a unique opportunity to influence enterprise governance while tackling complex engineering challenges in a highly visible role.

What you have

Required Qualifications:

• Bachelor's degree in Computer Science, Engineering or related field OR related practical experience
• 5+ years of experience in a software engineering role (Infrastructure or Application)
• 5+ years in a programming language (Java, Python, Go desired)
• 2+ years of hands-on experience managing the full lifecycle of cloud service modules for GCP-based platforms (e.g., Vertex AI, BigQuery, Dataflow, Composer, Dataproc, Dataplex, Looker).
• Expertise in governance enforcement, ensuring adherence to security, compliance, and operational standards across module updates and releases.
• Strong knowledge of release management processes, including regression validation, backward compatibility, and controlled rollouts.
• Proficiency in CI/CD automation for release pipelines, including automated testing and policy enforcement, focusing on reliability, consistency, and minimal downtime.
• Familiarity with configuration and policy-as-code frameworks for enforcing operational guardrails.
  
• Demonstrated ability to coordinate with engineering and SRE teams for maintaining module reliability during lifecycle transitions.

Preferred Qualifications:

• Proven ability to design components in Container Orchestration (Kubernetes desired) and Infrastructure as Code (Terraform desired)
• Experience implementing lifecycle governance models for multi-service cloud environments.
• Knowledge of dependency mapping tools and impact analysis for complex, integrated platforms.
• Strong understanding of risk assessment frameworks for regulated financial environments.
• Familiarity with GCP-native services and their interdependencies, including orchestration and metadata management.
• Ability to optimize lifecycle management processes to improve time-to-market without sacrificing compliance.
• Skilled in communicating technical risks and lifecycle impacts to business stakeholders.

Requisition #: 2025-113908

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Requirements

2025-113908