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Capital One

Full-stack Engineer 4, Agentic Orchestration

Capital One

. Design and build the agentic orchestration layer enabling AI agents to be composed, sequenced, and operated as a unified associate experience .

Posted 9/29/2026full-timeUnited StatesMid-LevelSenior💰 $209,000 - $286,200 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in software engineering with a strong focus on cloud platforms, microservices architecture, and API development. Proven ability to lead technical teams, mentor engineers, and drive innovation in AI-based solutions.

Highest-signal resume keywords
Software EngineeringCloud Platforms (AWS, GCP, Azure)Microservices ArchitectureAPI DevelopmentTechnical Leadership

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
GoJavaJavaScriptTypeScriptPythonRustC#ScalaDatabase Management SystemsCI/CD Pipelines
Soft Skills
MentoringCollaborationProblem-SolvingInfluencingCommunication
Tools & Technologies
Cloud-Based Productivity ToolsVirtualization TechnologiesGit-Based Version-Control SystemsAutomated Testing FrameworksObservability Tools
Industry Keywords
AgileOpen Source FrameworksSynchronous APIsAsynchronous APIsTechnical Debt

Tech Stack

Tools & technologies
AWSAzureCloudDistributed SystemsGoogle Cloud PlatformJavaJavaScriptMicroservicesOpen SourcePythonRustScalaTypeScriptGo

About the role

Key responsibilities & impact
  • Design and build the agentic orchestration layer enabling AI agents to be composed, sequenced, and operated as a unified associate experience
  • Lead a portfolio of diverse technology projects and a team of developers building distributed microservices and full-stack systems
  • Create solutions that meet regulatory needs
  • Collaborate with digital product managers to deliver robust cloud-based solutions for millions of Americans
  • Provide technical leadership and direction across Agile teams, setting standards for design, development, and operational excellence
  • Partner with architects to define service boundaries, integration patterns, and reusable frameworks
  • Identify improvement opportunities, implement targeted refactoring, reduce technical debt, and enhance system performance
  • Influence long-term technology strategy through evaluation of emerging tools and practices
  • Mentor members of the engineering community and participate in internal and external technology communities

Requirements

What you’ll need
  • Bachelor's Degree or higher in Computer Science or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)
  • At least 4 years of experience in software engineering; internship experience does not apply
  • At least 2 years of experience with public cloud platforms (AWS, GCP, Azure), cloud-based productivity tools, or virtualization technologies
  • 7+ years of experience coding with more than two of: Go, Java, JavaScript/TypeScript, Python, Rust, C#, Scala (preferred)
  • 3+ years of experience with database and database management systems (preferred)
  • 3+ years of experience with AWS, GCP, Azure, or cloud-based productivity tools or virtualization technologies (preferred)
  • 4+ years of experience contributing to open source frameworks (preferred)
  • 3+ years of experience with front-end JavaScript or TypeScript frameworks (preferred)
  • 4+ years of experience creating synchronous and asynchronous APIs (preferred)
  • 3+ years of experience with CI/CD pipelines, infrastructure as code, and automated testing frameworks (preferred)
  • 3+ years of experience using Git-based version-control systems (preferred)
  • 3+ years of experience troubleshooting technical issues within cloud environments (preferred)
  • Experience leveraging modern AI-based coding tools and IDE copilots (preferred)
  • 1+ year of experience mentoring engineers and driving professional development within technical teams (preferred)
  • 1+ year of experience leveraging observability to identify and optimize performance bottlenecks in distributed systems (preferred)
  • Experience with interactive AI tooling beyond basic code completion (preferred)
  • Experience leading cross-functional engineering efforts or large-scale technical initiatives (preferred)
  • Experience establishing and enforcing coding standards and design patterns across teams (preferred)
  • Capital One will not sponsor a new applicant for employment authorization or provide immigration-related support for this position

Benefits

Comp & perks
  • Performance-based incentive compensation, which may include cash bonus(es) and/or long-term incentives (LTI)
  • Comprehensive, competitive, and inclusive health, financial, and other benefits supporting total well-being
  • Reasonable accommodations for applicants who require them