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Distinguished Engineer (Remote - Eligible)Capital One • Cambridge, Massachusetts, United States
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Distinguished Engineer (Remote - Eligible)

Capital One
  • US
    Cambridge, Massachusetts, United States
  • US
    Cambridge, Massachusetts, United States
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À propos

* 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 flexibility* 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* Bachelors' or Master's Degree in Computer Science or a related field* 10+ years of experience in Software Engineering and solution architecture* 10+ years of professional experience coding in commonly used languages like Java, Python, Go, JavaScript/TypeScript, Swift, etc.* 8+
years of professional experience in the full lifecycle of system development, from conception through architecture, implementation, testing, deployment and production support* 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)* Experience in implementing Artificial Intelligence or Artificial Intelligence-enabled solutionsCapital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. #J-18808-Ljbffr
  • Cambridge, Massachusetts, United States

Compétences linguistiques

  • English
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