Senior Distinguished Engineer - Platform Operations

$321,500 - $366,900/Yr

Capital One - Fredericksburg, VA

Full-time - Senior

Fredericksburg, VA

Credit Intermediation and Related Activities

About the position

The Sr. Distinguished Engineer - Platform Operations at Capital One is a leadership role focused on optimizing the Machine Learning and Artificial Intelligence platform operations. This position is pivotal in setting the strategic roadmap for AI and ML platforms, ensuring high availability and performance while fostering a culture of diversity and inclusion within the engineering team. The role involves collaboration with various teams to implement best practices and innovative solutions that enhance the customer experience through advanced technology.

Responsibilities

• Set the roadmap and manage day-to-day operations of AI and ML platforms, including container management in public cloud (AWS) and cloud resource provisioning.
• Maintain a deep understanding of the technical aspects of the platform, including infrastructure, algorithms, APIs, and integrations.
• Provide operations leadership to engineering and production teams.
• Implement robust processes and dashboards to monitor platform performance and adherence to service level agreements (SLAs).
• Collaborate with cyber, technology risk management, security, and compliance teams to meet company requirements.
• Work closely with product and engineering teams to ensure adherence to industry best practices and corporate standards.
• Implement automation and dashboards for proactive decision-making and risk mitigation.
• Develop a long-term vision and roadmap for platform operations enhancements.
• Build and lead a high-performing operations team, recruiting and retaining top talent.

Requirements

• Bachelor's Degree
• At least 9 years of experience managing platform, infrastructure operations, or Site Reliability Engineering.
• At least 5 years of experience with public cloud technologies.

Nice-to-haves

• Master's Degree in a STEM field (Science, Technology, Engineering, or Mathematics)
• 5+ years of experience in managing large-scale, high-performance, distributed systems as a Site Reliability Engineer or product engineer.
• 5+ years of experience in setting up and scaling observability platforms and creating operational health dashboards.
• 3+ years of experience in building systems within a regulated environment.
• 3+ years of experience in Artificial Intelligence, Machine Learning, or Cloud infrastructure.
• 3+ years of experience with managing distributed systems, multi-tenant, microservices, and container orchestration (Kubernetes).
• 5+ years of experience with the machine learning lifecycle and familiarity with major Machine Learning frameworks.

Benefits

• Comprehensive health benefits
• Financial benefits including performance-based incentives
• Inclusive workplace culture
• Opportunities for professional development