Full-stack Engineer, Agentic Orchestration

Capital One

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

Posted 9/29/2026full-timeUnited StatesMid-LevelSenior💰 $209,000 - $286,200 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leading technology projects, mentoring engineering teams, and driving the design and implementation of cloud-based solutions. Proficient in leveraging public cloud platforms and modern development practices to ensure high reliability and performance in distributed systems.

Highest-signal resume keywords

Cloud-Based SolutionsMicroservices ArchitectureSoftware EngineeringPublic Cloud PlatformsTechnical Leadership

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

GoJavaJavaScriptTypeScriptPythonRustC#ScalaAPI DevelopmentDatabase Management

Soft Skills

MentoringCollaborationInfluencing StrategyProblem SolvingCommunication

Tools & Technologies

AWSGCPAzureCI/CD PipelinesGitVirtualization TechnologiesAutomated Testing FrameworksObservability ToolsAI-Based Coding Tools

Certifications & Qualifications

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

Industry Keywords

Distributed SystemsCloud-Native SystemsRegulatory ComplianceOpen Source FrameworksTechnical Standards

Tech Stack

Tools & technologies

AWSAzureCloudDistributed SystemsGoogle Cloud PlatformJavaJavaScriptMicroservicesOpen 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 help meet 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
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 (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 database 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 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
Drug-free workplace
Equal opportunity and non-discrimination commitment