Staff Full Stack Engineer, AI & Emerging Tech

Capital One

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

Posted 11/9/2026full-timeUnited StatesLead💰 $229,900 - $286,200 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leading diverse technology projects, mentoring engineering teams, and delivering cloud-based solutions using modern programming languages and frameworks. Proficient in shaping system architecture and influencing technology strategy while ensuring compliance with regulatory needs.

Highest-signal resume keywords

Cloud-Based SolutionsMicroservices ArchitectureJava ProgrammingAWS Tools and ServicesTechnical Leadership

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

JavaScalaPythonGoNode.jsJavaScriptTypeScriptAPIsDatabasesCI/CD Pipelines

Soft Skills

MentoringCollaborationInfluencing

Tools & Technologies

DockerKubernetesAWSGCPAzureGit

Certifications & Qualifications

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

Industry Keywords

Distributed SystemsCloud ComputingOpen SourceObservabilityRegulatory Compliance

Tech Stack

Tools & technologies

AWSAzureCloudDistributed SystemsDockerGoogle Cloud PlatformJavaJavaScriptKubernetesMicroservicesNode.jsNoSQLOpen SourcePythonRustScalaTypeScriptGo

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
Create solutions that meet regulatory needs
Stay current with technology trends, experiment with and learn emerging 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
Use Java, Scala, Python, Go, Node.js, JavaScript, TypeScript, open-source relational 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
Lead 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, 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 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
Capital One will consider sponsoring a new qualified applicant for employment authorization

Benefits

Comp & perks

Performance-based incentive compensation, which may include cash bonuses and/or long-term incentives (LTI)
Comprehensive, competitive, and inclusive health, financial, and other benefits supporting total well-being
Employment authorization sponsorship consideration for a new qualified applicant
Reasonable accommodation support for applicants