Full-stack Engineer 5 – Java, Spring, Kafka, CI/CD, AI tools, Glue, RDS, DynamoDB

Capital One

. Lead a portfolio of diverse technology projects and direct a team of developers experienced in 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, directing teams in the development of cloud-native systems, and implementing intelligent solutions using AI technologies. Proficient in multiple programming languages and cloud platforms, with a strong focus on mentoring and modern engineering practices.

Highest-signal resume keywords

Cloud-Native System DesignMicroservices ArchitectureJava, JavaScript, TypeScript, Python, GoAWS, GCP, AzureCI/CD Pipelines

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software EngineeringAPI DevelopmentDatabase Management SystemsOpen-Source ContributionsAgile PracticesObservability in Distributed SystemsBig-Data ETLGenerative AI Coding ToolsInfrastructure as CodeAutomated Testing Frameworks

Soft Skills

MentoringTeam LeadershipCollaborationCommunication

Tools & Technologies

DockerKubernetesGitCloud-Based Productivity ToolsVirtualization Technologies

Certifications & Qualifications

Bachelor's Degree in Computer Science or Related Field

Industry Keywords

Cloud InfrastructureDistributed SystemsIntelligent SolutionsHyper-Personalized User ExperiencesTechnical Direction

Tech Stack

Tools & technologies

AWSAzureCloudDistributed SystemsDockerETLGoogle Cloud PlatformJavaJavaScriptKubernetesMicroservicesNode.jsNoSQLPythonRDBMSScalaTypeScriptGo

About the role

Key responsibilities & impact

Lead a portfolio of diverse technology projects and direct a team of developers experienced in distributed microservices and full-stack systems
Drive end-to-end design and implementation of large-scale, cloud-native systems with high reliability, performance, and data-design requirements
Partner with architects and product leaders on system architecture, platform roadmaps, and shared-services strategies
Direct the design, development, testing, and implementation of intelligent solutions using AI technologies, LLMs, and cloud infrastructure
Partner with digital product managers to build cloud-based solutions supporting hyper-personalized user experiences
Use Java, JavaScript, TypeScript, Python, Go, Scala, Node.js, open-source RDBMS, NoSQL databases, Docker, Kubernetes, and AWS ecosystems
Mentor engineers, conduct code reviews, participate in technology communities, and champion modern engineering practices

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
Capital One will consider sponsoring a new qualified applicant for employment authorization
Preferred: 9+ years coding with two or more listed languages
Preferred: 7+ years in at least one listed programming language
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 leading technical direction and executing large-scale, cross-functional projects
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 with databases and database management systems
Preferred: 4+ years using Git-based version-control systems
Preferred: 4+ years troubleshooting technical issues within cloud environments
Preferred: 3+ years with AWS, GCP, Azure, or another cloud service
Preferred: 3+ years mentoring senior engineers and driving professional development
Preferred: 2+ years in Agile practices
Preferred: 2+ years leveraging observability in distributed systems
Preferred: 1+ year with big-data ETL using Dataflow, AWS Glue, or Databricks
Preferred: 1+ year using Generative AI coding tools, IDE copilots, and advanced LLM capabilities
Preferred: 1+ year in prompt engineering or AI-enhanced features
Preferred: 1+ year leading architectural design reviews and influencing enterprise-wide standards
Preferred: 1+ year establishing coding standards and design patterns
Preferred: 1+ year implementing observability and reliability practices at scale

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 applicants who require them