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Capital One

Distinguished Engineer – Autonomous Deployments

Capital One

Distinguished Engineer at Capital One driving innovation and technical strategy for the software delivery ecosystem. Leading transformation in continuous deployment using AI/ML across multiple organizational boundaries.

Posted 4/24/2026full-timeNew York City • Illinois, New York, Texas, Virginia • 🇺🇸 United StatesSeniorLead💰 $244,700 - $335,100 per yearWebsite

Tech Stack

Tools & technologies
AWSCloud

About the role

Key responsibilities & impact
  • Steward the technical strategy for the software delivery ecosystem focusing on continuous deployment and defining the technical vision for a modern, frictionless software delivery value chain.
  • Lead the transformation of the software delivery value chain, powered by AI/ML capabilities intelligent automation, predictive testing, deployment risk assessment and operations.
  • Lead the architectural vision, abstracting away complexity, and driving the creation of 'paved roads' that allow teams to move fast.
  • Maintain a hands-on programming presence to prototype complex deployment architectures, validate architectural decisions, and build core foundational systems.
  • Drive large-scale technical transformation, ensuring consistency of solution architectures across complex enterprise domains for compliance, adoption, and value delivery.
  • Partner with engineering and business leaders the vertical Lines of Business to accelerate immediate improvements, define standards for software flow from commit to production, and serve as a subject matter expert for the enterprise.
  • Grow technical leaders by mentoring engineers, fostering a culture of engineering excellence, and actively recruiting talent while championing an inclusive environment.
  • Define metrics to measure and articulate company progress and work closely with key stakeholders such as internal risk partners and federal regulators.

Requirements

What you’ll need
  • Bachelor's degree in Computer Science, Computer Engineering, Mathematics, Statistics or relevant technical field, or equivalent practical experience
  • At least 7 years of experience in software engineering or solution architecture
  • At least 3 years of experience with public cloud technologies
  • Masters’ Degree in Computer Science, Computer Engineering, Mathematics, Statistics or relevant technical field, or equivalent practical experience (preferred)
  • Experience leading technical strategy for large-scale engineering organizations, with measurable improvements to developer productivity or delivery metrics (preferred)
  • Ability to build consensus and drive adoption of new technical standards across diverse engineering teams without relying on authority (preferred)
  • 10+ years of experience in software engineering or solution architecture (preferred)
  • 7+ years experience designing and building enterprise platform solutions (preferred)
  • 5+ years of experience with Agile software development (preferred)
  • 4+ years experience with AWS (preferred)
  • 3+ years of experience defining software design, architecture and engineering practices (preferred)

Benefits

Comp & perks
  • comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
software engineeringsolution architectureAI/ML capabilitiesintelligent automationpredictive testingdeployment risk assessmentAgile software developmententerprise platform solutionssoftware designarchitecture practices
Soft Skills
leadershipmentoringbuilding consensusdriving adoptionfostering culture of excellencecommunicationcollaborationorganizational skillsstakeholder engagementinclusive environment
Certifications
Bachelor's degree in Computer ScienceBachelor's degree in Computer EngineeringBachelor's degree in MathematicsBachelor's degree in StatisticsMaster's degree in Computer ScienceMaster's degree in Computer EngineeringMaster's degree in MathematicsMaster's degree in Statistics