Full-Stack Engineer

Capital One

. Take technical ownership of brand-new, greenfield product spaces from inception to deployment .

Posted 10/14/2026full-timeRemote • Virginia • United StatesMid-LevelSenior💰 $209,000 - $238,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building scalable microservices and backend architecture using JavaScript, TypeScript, and cloud platforms like AWS. Proven ability to mentor engineering teams, influence technical strategy, and implement observability practices in distributed systems.

Highest-signal resume keywords

Microservices ArchitectureJavaScript/TypeScript DevelopmentAWS Cloud PlatformsMentoring Engineering TeamsAPI Development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

JavaScriptTypeScriptPythonGoSQLDistributed NoSQL DatabasesCI/CD PipelinesInfrastructure as CodeAutomated Testing FrameworksObservability Practices

Soft Skills

CollaborationMentoringLeadershipCommunicationProblem-Solving

Tools & Technologies

DockerKubernetesAWS Cloud-Native ToolsGit-Based Version-Control SystemsOpen-Source RDBMS

Certifications & Qualifications

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

Industry Keywords

Cloud ComputingBig Data PipelinesTechnical StrategySoftware EngineeringOpen Source Frameworks

Tech Stack

Tools & technologies

AWSAzureCloudDistributed SystemsDockerGoogle Cloud PlatformJavaJavaScriptKubernetesMicroservicesNoSQLOpen SourcePythonRDBMSRustScalaSQLTypeScriptGo

About the role

Key responsibilities & impact

Take technical ownership of brand-new, greenfield product spaces from inception to deployment
Build and deliver highly scalable, distributed microservices with emphasis on robust backend architecture
Work across diverse platforms and stacks, including JavaScript/TypeScript, infrastructure, and big-data pipelines tracking over 3 billion items and terabytes of analytics
Collaborate closely with Digital Product Managers to define technical strategy and turn ambiguous consumer needs into high-performing features
Stay current with technology trends and experiment with new technologies
Mentor members of the engineering community and lead by example
Participate in architectural design, code evaluations, and hands-on coding
Use TypeScript, JavaScript, SQL, Python, or Go with open-source RDBMS, distributed NoSQL databases, Docker/Kubernetes, and AWS cloud-native tools

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 6 years of experience in software engineering (Internship experience does not apply)
At least 3 years of experience with public cloud platforms (AWS, GCP, Azure), cloud-based productivity tools, or virtualization technologies
Preferred: Master’s Degree in Computer Science or a related field
Preferred: 9+ years of experience coding with more than two of Go, Java, JavaScript/TypeScript, Python, Rust, C#, Scala
Preferred: 5+ years contributing to open source frameworks
Preferred: 5+ years with front-end JavaScript or TypeScript frameworks
Preferred: 5+ years creating synchronous and asynchronous APIs
Preferred: 4+ years with databases and database management systems
Preferred: 4+ years with AWS, GCP, Azure, cloud-based productivity tools, or virtualization technologies
Preferred: 4+ years with CI/CD pipelines, infrastructure as code, and automated testing frameworks
Preferred: 4+ years using Git-based version-control systems
Preferred: 4+ years troubleshooting technical issues within cloud environments
Preferred: 3+ years mentoring senior engineers and driving professional development within technical teams
Preferred: 2+ years leveraging observability to identify and optimize performance bottlenecks in distributed systems
Preferred: 1+ year leading architectural design reviews and influencing enterprise-wide technical standards and methodologies
Preferred: 1+ year establishing and enforcing coding standards and design patterns across teams
Preferred: 1+ year implementing observability and reliability practices at scale
Experience leveraging modern AI-based coding tools and IDE copilots
Experience influencing technology strategy at the portfolio or business unit level
Experience with interactive AI tooling beyond basic code completion
Experience leading cross-functional engineering efforts or large-scale technical initiatives
Capital One will consider sponsoring a new qualified applicant for employment authorization

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