Cloud Platform Engineer

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.

Do you want to be a part of the Emerging AI Capabilities team at Schwab building the next generation innovations and solutions that shape the future of financial technology? You will support Emerging AI solutions that will be foundational in supporting Business decision making and enhancing client experiences.

At Charles Schwab, we are seeking a seasoned Platform Engineer within the Data and Rep Technology (DaRT) organization to support our ambitious AIML focused Cloud Data Platform initiatives. This role sets the stage for revolutionary advancements in how we leverage data and AI on our modern platforms. If you thrive in environments where innovation is the norm and your actions drive substantial business transformations, this is your opportunity to make a significant impact.

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.

What you're good at

Cloud Data Platform Engineering & Strategy:

• Service Enablement: Spearhead the development and implementation of new Cloud platform services, ensuring seamless integration and alignment with existing systems. Deliver strategies for service provisioning that optimize both performance and security.

• Resource Provisioning: Oversee the allocation and management of platform resources for customer and tenant needs.

• Platform Expansion and Upgrades: Plan and execute the expansion of platform capabilities to support growing business needs. Support major service lifecycle management initiatives, integrating cutting-edge technologies that enhance platform performance and user experience.

Operational Excellence:

• Monitoring and Logging: Develop and maintain a robust monitoring framework that tracks performance metrics and logs critical events. Use this data to drive continuous improvement and ensure high availability and reliability.

• Security and Compliance: Support the implementation of comprehensive security protocols and compliance measures across all platform services. Regularly review and update these protocols to mitigate risks and respond to evolving threats.

• Disaster Recovery and Business Continuity: Establish and test disaster recovery plans that ensure rapid restoration of services in the event of outages or other disruptive incidents. Maintain business continuity by implementing failover mechanisms and redundant systems.

Leadership and Team Development as well as Collaboration and Influence:

• Strategic Partnerships: Build strong partnerships with internal stakeholders and external vendors to align platform development with broader organizational goals. Advocate for technological advancements that drive business value.

• Continuous Performance Optimization: Systematically analyze platform operations to identify bottlenecks and inefficiencies. Implement solutions that enhance service delivery and user satisfaction.

What you have

Required:

• Bachelor of Science or equivalent in Computer Science, Engineering, Data Science or a related field

• 5+ years of experience in technology that includes managing complex, multi-platform cloud environments in a large-scale environment

• A technical background with 5+ years' experience that includes proficiency with major cloud platforms such as AWS, Azure, and Google Cloud

• Infrastructure as Code (IaC): Skilled in using Terraform and other IaC tools to manage infrastructure deployments efficiently.

• Critical-thinking and strong problem-solving skills with ability to analyze and understand data.

• Attitude that fosters a culture of collaboration and teamwork

• Familiar and comfortable with agile development techniques.

• Demonstrates ability to work effectively within a team and with cross-functional technical and business teams.

Preferred:

• Experience with services like BigQuery, Dataproc, Composer, Dataflow, Pub Sub, Cloud Functions, Cloud Build, Cloud Run, Cloud Scheduler
• AI & ML Platforms: Experience with traditional AI/ML platforms like Dataiku or AWS Sagemaker and Generative AI services/LLMs like Google Vertex Search, Microsoft Open AI
• Security and Compliance: Strong understanding of security protocols, Identity & Access Management (IAM), and compliance frameworks relevant to the financial services industry.