Senior Full-stack Engineer 5

Capital One

. Lead a portfolio of diverse technology projects and a team of developers building distributed microservices and full-stack systems that meet regulatory needs .

Posted 9/30/2026full-timeUnited StatesSenior💰 $209,000 - $262,400 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leading technology projects and teams, with a strong focus on building distributed microservices and cloud-based solutions. Proficient in multiple programming languages and cloud platforms, with a commitment to mentoring and technical leadership.

Highest-signal resume keywords

Java ProgrammingCloud-Based SolutionsMicroservices ArchitectureTechnical LeadershipAPI Development

ATS Keywords

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Hard Skills

JavaScalaPythonGoNode.jsJavaScriptTypeScriptRDBMSNoSQLAPI Development

Soft Skills

MentoringCollaborationLeadership

Tools & Technologies

DockerKubernetesAWSGCPAzureCI/CD PipelinesGit

Certifications & Qualifications

Bachelor's Degree in Computer ScienceMaster's Degree in Computer Science

Industry Keywords

Cloud ComputingDistributed SystemsFinancial EmpowermentOpen SourceObservability

Tech Stack

Tools & technologies

AWSAzureCloudDistributed SystemsDockerGoogle Cloud PlatformJavaJavaScriptKubernetesMicroservicesNode.jsNoSQLOpen SourcePythonRDBMSRustScalaTypeScriptGo

About the role

Key responsibilities & impact

Lead a portfolio of diverse technology projects and a team of developers building distributed microservices and full-stack systems that meet regulatory needs
Stay current with technology trends, experiment with and learn new technologies, participate in internal and external technology communities, and mentor engineers
Collaborate with digital product managers to deliver robust cloud-based solutions supporting millions of Americans' financial empowerment
Use Java, Scala, Python, Go, Node.js, JavaScript, TypeScript, open-source RDBMS and NoSQL databases, Docker, Kubernetes, and AWS tools and services
Provide technical leadership across multiple teams and shape system architecture and long-term technology direction
Drive end-to-end design and implementation of large-scale, distributed, or cloud-native systems with high reliability and performance requirements
Partner with architects and product leaders to define platform roadmaps and shared-services strategy

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, cloud-based productivity tools, or virtualization technologies
Eligible applicants may receive employment authorization sponsorship
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
Preferred: Experience with modern AI-based coding tools and IDE copilots
Preferred: Experience influencing technology strategy at the portfolio or business unit level
Preferred: Experience with interactive AI tooling beyond basic code completion
Preferred: Experience leading cross-functional engineering efforts or large-scale technical initiatives

Benefits

Comp & perks

Performance-based incentive compensation, which may include cash bonuses and/or long-term incentives (LTI)
Comprehensive, competitive health, financial, and other benefits supporting total well-being
Reasonable accommodations for qualified applicants