Distinguished Engineer (Remote - Eligible)
AI summary of the role
This Distinguished Engineer role in Capital One's Risk Technology organization leads the technical vision for embedding AI and automated code transformation into the developer lifecycle.
What you’ll do
- Articulate and evangelize a bold technical vision for embedding AI and automated code transformation into the developer lifecycle
- Decompose complex problems into practical and operational solutions
- Serve as an authoritative expert on non-functional system characteristics such as performance, scalability and operability
- Develop full stack applications with a product engineering mindset, spanning frontend and backend ecosystems
What you’ll bring
- Bachelor’s Degree
- At least 7 years of experience in Software engineering and solution architecture
- At least 7 years of experience in Enterprise architecture and design patterns
- At least 5 years of experience in Cloud computing (AWS, Microsoft Azure, Google Cloud)
Technologies
AWS · Microsoft Azure · Google Cloud · Java · Python · JavaScript · TypeScript · OpenTelemetry · Prometheus · CI/CD
Source and classification
Internal deployment & tooling · Evidence for this classification:
outstanding products, working toward the common goal of transforming risk management with technology. We build data-driven tools that use machine learning to prevent risks & automatically detect issues before they impact our business, our customers, or our communities. In this role, you will work with our Data Platform teams who bring data from across Capital One into a single view of customers, transactions, and investigations. These teams work with the biggest and most complicated data Capital One has, are responsible for performance, data quality, and integrity. The data sets power machine learning models and feed directly into regulatory filings. If you are ready to provide thought leadership and build engineering excellence across Capital One's engineering teams, come join us in our mission to change banking for good. Key responsibilities: Articulate and evangelize a bold
More from the job description
Distinguished Engineer (Remote - Eligible) 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. At Capital One, we believe diversity of thought strengthens our ability to influence, collaborate and provide the most innovative solutions across organizational boundaries. You will promote a culture of engineering excellence, and strike the right balance between lending expertise and providing an inclusive environment where the ideas of others can be heard and championed. You will lead the way in creating next-generation talent for Capital One Tech, mentoring internal talent and actively recruiting to keep building our community. Distinguished Engineers are expected to lead through technical contribution. You will operate as a trusted advisor for our key technologies, platforms and capability domains, creating clear and concise communications, code samples, blog posts and other material to share knowl [... source excerpt omitted ...] nsforming risk management with technology. We build data-driven tools that use machine learning to prevent risks & automatically detect issues before they impact our business, our customers, or our communities. In this role, you will work with our Data Platform teams who bring data from across Capital One into a single view of customers, transactions, and investigations. These teams work with the biggest and most complicated data Capital One has, are responsible for performance, data quality, and integrity. The data sets power machine learning models and feed directly into regulatory filings. If you are ready to provide thought leadership and build engineering excellence across [... source excerpt omitted ...] ngineering mindset, spanning frontend and backend ecosystems that balance simplicity with flexibility Capital One is open to hiring a Remote Employee for this opportunity. Basic Qualifications: Bachelor’s Degree At least 7 years of experience in Software engineering and solution architecture At least 7 years of experience in Enterprise architecture and design patterns At least 5 years of experience in Cloud computing (AWS, Microsoft Azure, Google Cloud) At least 5 years of experience in Data architecture including Event Driven and Real-Time architectures Preferred Qualifications: Bachelors' or Master's Degree in Computer Science or a related field 10+ years of professional ex
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