Lead Full-Stack Engineer, AI Platform & Knowledge Library

Jobs in JS

McLean (VA)

On-site

USD 140,000 - 190,000

Full time

8 days ago
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Job summary

Capital One is seeking a Full-stack Engineer 5 to lead a portfolio of AI Platform & Knowledge Library projects within Enterprise Platforms Technology. You will guide a team of developers with expertise in distributed microservices and full stack systems, delivering robust cloud-based solutions across AWS and open source stacks.

The role requires strong coding skills in Java, JavaScript/TypeScript, Python, and experience with Docker/Kubernetes, RDBMS and NoSQL databases.

Qualifications

  • Bachelor's Degree or higher in Computer Science or a related quantitative field.
  • At least 6 years of software engineering experience (Internship experience does not apply).
  • At least 3 years of experience with public cloud platforms (AWS, GCP, Azure) or virtualization technologies.

Responsibilities

  • Lead a portfolio of diverse technology projects and a team of developers with deep experience in distributed microservices and full stack systems.
  • Share passion for tech trends, experiment with new technologies, mentor engineers and participate in tech communities.
  • Collaborate with product managers to deliver cloud-based solutions that empower users at scale.
  • Utilize languages like Java, Scala, Python, Go, Node.js, JavaScript and TypeScript; work with AWS tools and services.
  • Provide technical leadership across multiple teams, shaping architecture and long-term direction.
  • Drive end-to-end design and implementation of large-scale distributed or cloud-native systems.

Skills

Technical leadership
Distributed systems
Full stack development

Education

Bachelor's degree
Master's degree

Tools

Docker
Kubernetes
AWS
NoSQL databases

Job description

Capital One is seeking a Full-stack Engineer 5 to lead a portfolio of AI Platform & Knowledge Library projects within Enterprise Platforms Technology. You will guide a team of developers with expertise in distributed microservices and full stack systems, delivering robust cloud-based solutions across AWS and open source stacks.

The role requires strong coding skills in Java, JavaScript/TypeScript, Python, and experience with Docker/Kubernetes, RDBMS and NoSQL databases.

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