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As a Distinguished Engineer at Capital One, you will be a part of a community of technical experts working to define the future of banking in the cloud. You will work alongside our talented team of developers, machine learning experts, product managers and people leaders. Our Distinguished Engineers are leading experts in their domains, helping devise practical and reusable solutions to complex problems. You will drive innovation at multiple levels, helping optimize business outcomes while driving towards strong technology solutions.
Job Responsibility:
Architect and build control and data plane implementations required to realize a highly available, multi-tenant, large scale and a secure machine learning platform
Develop Ray and Spark distributed compute engine solutions to accelerate diverse workloads from LLM pre-training and reinforcement learning to large-scale data processing, while maximizing compute unit economics
Engineer systemic improvements for operational excellence including automating KTLO (Keep The Lights On) workflows
Direct the technical execution of a diverse project portfolio, collaborating with developers specializing in everything ranging from distributed microservices to running large foundation models
Work cross-functionally with product and program management disciplines, and stakeholder and partners across Capital One to help optimize business outcomes while driving towards strong technology solutions
Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and leading system design and code review sessions
Help elevate the Capital One Distinguished Engineering community and establish yourself as a go-to resource on given technologies and technology-enabled capabilities
Lead the way in creating next-generation talent, mentoring internal talent and actively recruiting external talent to bolster the Capital One tech talent pool
Requirements:
Bachelor’s Degree
At least 7 years of experience in software engineering
At least 7 years of experience designing distributed systems, backend architecture, and API platforms
At least 5 years of experience with public cloud technologies
Nice to have:
A Master’s Degree in Computer Science or a Master’s Degree in Software Engineering
3+ years of experience building platforms that support LLM training, fine-tuning, or high-throughput inference
3+ years of experience with AWS-specific compute primitives (EKS, EC2 UltraClusters, Graviton) and cost-optimization strategies
3+ years of experience with building platforms at scale and experience with distributed computing frameworks such as Spark and Ray
What we offer:
Performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
comprehensive, competitive, and inclusive set of health, financial and other benefits