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Capital One

Senior Full-stack Engineer, Risk Tech

Capital One

. Lead a portfolio of diverse technology projects and a team of developers building solutions for regulatory needs .

Posted 9/24/2026full-timeUnited StatesSenior💰 $229,900 - $262,400 per yearWebsite

Core Competencies

Role fit
Core Competencies

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

Highest-signal resume keywords
Cloud-Based SolutionsJava ProgrammingAWS Tools and ServicesTechnical LeadershipSoftware Engineering

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
JavaScalaPythonGoNode.jsJavaScriptTypeScriptAPIsDatabasesCI/CD Pipelines
Soft Skills
MentoringCollaborationLeadership
Tools & Technologies
DockerKubernetesAWSGCPAzure
Certifications & Qualifications
Bachelor's Degree in Computer ScienceMaster’s Degree in Computer Science
Industry Keywords
Regulatory NeedsCloud-Native SystemsOpen Source FrameworksObservabilityTechnical Standards

Tech Stack

Tools & technologies
AWSAzureCloudDistributed SystemsDockerGoogle Cloud PlatformJavaJavaScriptKubernetesNode.jsNoSQLOpen SourcePythonRDBMSRustScalaTypeScriptGo

About the role

Key responsibilities & impact
  • Lead a portfolio of diverse technology projects and a team of developers building solutions for regulatory needs
  • Stay current with technology trends, experiment with and learn new technologies, and participate in internal and external technology communities
  • Mentor members of the engineering community
  • Collaborate with digital product managers to deliver robust cloud-based solutions supporting 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
  • 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 (AWS, GCP, Azure), cloud-based productivity tools, or virtualization technologies
  • Capital One will consider sponsoring a new qualified applicant for employment authorization for this position
  • 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 with 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

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