About the job
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.
Responsibilities
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
Ensure the quality of technical design and implementation
Serve as an authoritative expert on non-functional system characteristics, such as performance, scalability and operability
Continue learning and injecting advanced technical knowledge into our community
Handle several projects simultaneously, balancing your time to maximize impact
Act as a role model and mentor within the tech community, helping to coach and strengthen the technical expertise and know-how of our engineering and product community
Ensure Code is of the highest quality & standard while being an active contributor and reviewer on critical repos of the application
Develop full stack applications with a product engineering mindset, spanning frontend and backend ecosystems that balance simplicity with fl
Qualifications
Minimum
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
Bachelors' or Master's Degree in Computer Science or a related field
10+ years of professional experience coding in commonly used languages like Java, Python, JavaScript/TypeScript
Deep understanding of the SDLC and systems design that accounts for highly reliable systems and highly maintainable systems
Experience leading teams to improve their testing and deployment processes, and experience enhancing data products to CI/CD standards
Experience in applying Artificial Intelligence or Machine Learning concepts to engineering challenges (e.g., anomaly detection, test optimization, intelligent testing)
Deep practical knowledge of Site Reliability Engineering (SRE) principles, chaos engineering, and advanced Observability tooling (e.g., OpenTelemetry, Prometheus, Tracing)