Full-stack Engineer 4

Capital One

. Build and operate the agentic workflow harness, including generator and critic agents, multi-section parallel orchestration, and bounded revision loops .

Posted 9/29/2026full-timeMcLean • Virginia • United StatesMid-LevelSenior💰 $179,400 - $225,100 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and operating complex agentic workflows, integrating cloud-based solutions, and managing distributed microservices. Proficient in mentoring engineering teams and leading technology projects while ensuring compliance with regulatory standards.

Highest-signal resume keywords

Cloud-Based SolutionsJavaScript/TypeScript FrameworksAPI DevelopmentDistributed MicroservicesMentoring Engineers

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

JavaJavaScriptTypeScriptPythonGoSQLDockerKubernetesAWSNoSQL Databases

Soft Skills

MentoringCollaborationLeadership

Tools & Technologies

AWSGCPAzureGitCI/CD Pipelines

Certifications & Qualifications

Bachelor's Degree in Computer ScienceMaster's Degree in Computer Science (Preferred)

Industry Keywords

Regulatory ComplianceOpen Source FrameworksPerformance OptimizationTechnical InitiativesCoding Standards

Tech Stack

Tools & technologies

AWSAzureCloudDistributed SystemsDockerGoogle Cloud PlatformJavaJavaScriptKubernetesMicroservicesNoSQLOpen SourcePythonRDBMSRustScalaSQLTypeScriptGo

About the role

Key responsibilities & impact

Build and operate the agentic workflow harness, including generator and critic agents, multi-section parallel orchestration, and bounded revision loops
Integrate the agentic pipeline with the enterprise LLM model gateway
Manage API calls, rate limiting, backpressure, latency metrics, and quality metrics
Lead a portfolio of technology projects and a team of developers experienced in distributed microservices and full-stack systems
Create solutions that help meet the company’s regulatory needs
Stay current with technology trends and experiment with and learn new technologies
Participate in internal and external technology communities
Mentor members of the engineering community
Collaborate with digital product managers
Deliver robust cloud-based solutions supporting financial empowerment experiences
Use JavaScript, Java, HTML/CSS, TypeScript, SQL, Python, Go, open-source RDBMS and NoSQL databases, Docker, Kubernetes, and AWS tools and services

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
No employer sponsorship or immigration-related support for employment authorization
Preferred: Master’s Degree in Computer Science or a related field
Preferred: 7+ years of experience coding with more than two of Go, Java, JavaScript/TypeScript, Python, Rust, C#, Scala
Preferred: 3+ years of experience with databases and database management systems
Preferred: 3+ years of experience with AWS, GCP, Azure, 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 (e.g., Git, GitHub, Bitbucket)
Preferred: 3+ years of experience troubleshooting technical issues within cloud environments
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
Experience with interactive AI tooling beyond basic code completion
Experience leading cross-functional engineering efforts or large-scale technical initiatives
Experience establishing and enforcing coding standards and design patterns across teams

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