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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 .
Core Competencies
Role fitCore 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
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
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 & technologiesAWSAzureCloudDistributed 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