Full-stack Engineer 4 - Machine Learning Experiences (MLX) at Capital One | CA, US | Rezi

Full-stack Engineer 4 - Machine Learning Experiences (MLX) at Capital One

Full-stack Engineer 4 - Machine Learning Experiences (MLX)

Capital One · CA, US

2 weeks ago

Full-stack Engineer 4 - Machine Learning Experiences (MLX)

Capital One · CA, US

15 days ago
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About the Role

Join Capital One as a Full-stack Software Engineer, leveraging cutting-edge open-source frameworks and emerging technologies to drive a major transformation. You will be part of a collaborative, inclusive, and iterative delivery environment, solving complex business problems and meeting customer needs.

Responsibilities

  • Lead a portfolio of diverse technology projects and a team of developers in creating solutions for regulatory needs.
  • Share passion for tech trends, experimenting with new technologies, and participating in technology communities.
  • Collaborate with digital product managers to deliver robust cloud-based solutions for financial empowerment.
  • Utilize programming languages like Java, Scala, Python, Go, Node.js, JavaScript, and TypeScript.
  • Work with Open Source RDBMS and NoSQL databases, Container Orchestration services (Docker, Kubernetes), and AWS tools.
  • Provide technical leadership and direction across Agile teams, setting standards for design, development, and operational excellence.
  • Partner with architects to define service boundaries, integration patterns, and reusable frameworks.
  • Proactively identify areas for improvement, implementing refactoring to reduce technical debt and enhance system performance.
  • Influence long-term technology strategy through evaluation of emerging tools and practices in a 'you build it, you own it' environment.

Requirements

  • Bachelor's Degree or higher in Computer Science or a related quantitative field.
  • At least 4 years of experience in software engineering (internship experience does not apply).
  • At least 2 years of experience with public cloud platforms (AWS, GCP, Azure), cloud-based productivity tools, or virtualization technologies.
  • Master’s Degree in Computer Science or a related field.
  • 7+ years of experience coding with more than two of the following: Go, Java, JavaScript/TypeScript, Python, Rust, C#, Scala.
  • 3+ years of experience with database and database management systems.
  • 3+ years of experience with AWS, GCP, Azure, or cloud-based productivity tools or virtualization technologies.
  • 4+ years of experience contributing to open source frameworks.
  • 3+ years of experience with front-end JavaScript or TypeScript frameworks.
  • 4+ years of experience creating synchronous and asynchronous APIs.
  • 3+ years of experience with CI/CD pipelines, infrastructure as code, and automated testing frameworks.
  • 3+ years of experience using Git-based version-control systems (e.g., Git, GitHub, Bitbucket).
  • 3+ years of experience troubleshooting technical issues within cloud environments.
  • Experience leveraging modern AI-based coding tools and IDE copilots.
  • 1+ year of experience mentoring engineers and driving professional development within technical teams.
  • 1+ year of experience leveraging observability to identify and optimize performance bottlenecks in distributed systems.
  • Experience with interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion.
  • Experience leading cross-functional engineering efforts or large-scale technical initiatives.
  • Experience establishing and enforcing coding standards and design patterns across teams.

Skills

  • Java
  • Scala
  • Python
  • Go
  • Node.js
  • JavaScript
  • TypeScript
  • Open Source RDBMS
  • NoSQL databases
  • Docker
  • Kubernetes
  • AWS
  • GCP
  • Azure
  • Front-end JavaScript frameworks
  • Front-end TypeScript frameworks
  • API development
  • CI/CD pipelines
  • Infrastructure as code
  • Automated testing frameworks
  • Git
  • GitHub
  • Bitbucket
  • Observability
  • AI-based coding tools
  • IDE copilots

Location

  • Sales Territory
  • Cambridge, MA
  • McLean, VA
  • New York, NY
  • Richmond, VA
  • San Jose, CA

Work Type

  • Full-time

Experience Level

  • 4+ years of experience in software engineering
  • 2+ years of experience with public cloud platforms
  • 7+ years of experience coding
  • 3+ years of experience with database and database management systems
  • 3+ years of experience with AWS, GCP, Azure, or cloud-based productivity tools or virtualization technologies
  • 4+ years of experience contributing to open source frameworks
  • 3+ years of experience with front-end JavaScript or TypeScript frameworks
  • 4+ years of experience creating synchronous and asynchronous APIs
  • 3+ years of experience with CI/CD pipelines, infrastructure as code, and automated testing frameworks
  • 3+ years of experience using Git-based version-control systems
  • 3+ years of experience troubleshooting technical issues within cloud environments
  • 1+ year of experience mentoring engineers
  • 1+ year of experience leveraging observability
  • Experience leading cross-functional engineering efforts or large-scale technical initiatives

Education Level

  • Bachelor's Degree in Computer Science or a related quantitative field
  • Master's Degree in Computer Science or a related field

Salary/Compensations

  • $179,400 - $204,700
  • $197,300 - $225,100
  • $215,200 - $245,600

Benefits

  • Comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being.

About the Company

  • At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who solve real problems and meet real customer needs.
  • Capital One Financial is made up of several different entities.

Equal Opportunity

  • Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws.
  • Capital One promotes a drug-free workplace.
  • Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries.