Senior Distinguished Engineer - Platform Operations

$321,500 - $366,900/Yr

Capital One - Washington, DC

Full-time - Senior

Washington, DC

Credit Intermediation and Related Activities

About the position

The Sr. Distinguished Engineer - Platform Operations at Capital One is a leadership role focused on optimizing and managing the Machine Learning and Artificial Intelligence platform operations. This position is pivotal in setting strategic roadmaps, overseeing day-to-day management, and ensuring the platform's performance aligns with industry best practices. The role emphasizes collaboration, diversity, and innovation, aiming to create a culture where all associates can thrive and contribute their unique perspectives.

Responsibilities

• Set the roadmap and oversee the management of AI and ML platforms, including strategies for 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 operations dashboards to monitor platform performance, user feedback, and adherence to service level agreements (SLAs).
• Collaborate with cyber, technology risk management, security, and compliance teams to understand company requirements.
• Work closely with product and engineering teams to ensure adherence to industry best practices and corporate standards.
• Implement automation and dashboards to visualize vulnerabilities and platform incidents for proactive decision-making.
• Develop a long-term vision and roadmap for platform operations enhancements in collaboration with executive leadership.
• Build a high-performing operations team, recruiting and retaining world-class engineers.

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.

Benefits

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