About the position
The Capital One machine learning platform organization manages our cloud-based enterprise ML+AI system providing users with development tools and runtime environments necessary to build and run machine learning and AI systems with large scale real-time and batch processing workloads. We are seeking a Senior Lead Software engineer, who is passionate about working on large scale distributed systems to help develop foundational capabilities for our platform. You will use your experience to build large scale and highly available systems to develop our shared control plane and fleet management framework as well as distributed compute infrastructure. Your foundational contributions will support our diverse offerings ranging from developer notebooks to model training to model inference and feature generation pipelines to pre-training and fine tuning Transformer architecture based models as well as generative AI inference applications. Your depth of experience in technologies including Golang and Python programming languages, gRPC and REST web service frameworks, container (e.g., Kubernetes) and serverless (e.g., AWS Lambda) runtime environments, cloud databases and computer security will provide a multiplier effect to our organization.
Responsibilities
- Define control and data plane architecture blueprints and develop implementations that help us realize a highly available, large scale and a provably secure machine learning platform
- Lead a portfolio of diverse technology projects and collaborate with a team of developers with deep experience in distributed microservices
- Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, mentoring other members of the engineering community, and leading system design and code review sessions
- Work cross-functionally with product and program management disciplines, to deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment
- Utilize programming languages like Go, Python, and Java, open Source RDBMS and NoSQL databases, container orchestration services including Docker and Kubernetes, and a variety of AWS tools and services to develop highly performant solutions
Requirements
- Bachelor's Degree
- At least 6 years of professional software engineering experience (Internship experience does not apply)
- At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud)
Nice-to-haves
- Master's Degree
- 9+ years of experience in at least one of the following: Go, Java, or Python
- 4+ years of experience with AWS, GCP, Azure, or another cloud service
- 2+ years of experience working with Kubernetes
Benefits
- Comprehensive health benefits
- Financial benefits
- Inclusive set of benefits that support total well-being
