Senior Full-Stack Engineer — AI/ML, Cloud, & Scale Lead

Capital One

McLean (VA)

On-site

USD 230,000 - 262,000

Full time

14 days+
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Job summary

Capital One in McLean, VA is seeking a highly skilled Full-Stack Engineer 5 to drive AI-powered, cloud-native enterprise platforms. This IC-level manager role leads a team of developers across Java, JavaScript/TypeScript, Python, and more, shaping architecture and delivering scalable microservices and data-driven solutions across large-scale systems.

You will mentor engineers, implement CI/CD, and advance observability and performance improvements while collaborating with product managers to

Qualifications

  • Bachelor's degree in Computer Science or related quantitative field.
  • At least 6 years of software engineering experience.
  • At least 3 years of experience with public cloud platforms.

Responsibilities

  • Lead portfolio of diverse technology projects and direct a team of developers.
  • Drive end-to-end design and implementation of large-scale cloud-native systems.
  • Direct AI/ML solution development using emerging AI technologies and LLMs.
  • Collaborate with product managers to build cloud-based solutions at scale.
  • Mentor engineers, conduct code reviews, and promote modern engineering practices.
  • Master a stack: Java, JavaScript/TypeScript, Python, Go, Scala, Node.js; AWS/GCP/Azure.

Skills

Java
Spring
Kafka
CI/CD
AI tools
Glue
RDS
DynamoDB
JavaScript
TypeScript
Python
Go
Scala
Node.js
AWS
Kubernetes
Docker
Git

Education

Bachelor's Degree in Computer Science or related field

Tools

Docker
Kubernetes
Git
CI/CD tooling

Job description

Capital One in McLean, VA is seeking a highly skilled Full-Stack Engineer 5 to drive AI-powered, cloud-native enterprise platforms. This IC-level manager role leads a team of developers across Java, JavaScript/TypeScript, Python, and more, shaping architecture and delivering scalable microservices and data-driven solutions across large-scale systems.

You will mentor engineers, implement CI/CD, and advance observability and performance improvements while collaborating with product managers to

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