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Capital One

Senior Lead Software Engineer – Golang, EKS, Kubernetes, LLMs, Agentic Flows, Control/Data Planes

Capital One

Lead Software Engineer focused on AI/ML solutions for Capital One. Oversee diverse technology projects with a collaborative team.

Posted 5/15/2026full-timeSan Francisco • California, New York, Virginia • 🇺🇸 United StatesSenior💰 $229,900 - $262,400 per yearWebsite

Tech Stack

Tools & technologies
AWSAzureCloudDockerGoGoogle Cloud PlatformJavaJavaScriptKubernetesMicroservicesNode.jsNoSQLOpen SourcePythonRDBMSSQLTypeScript

About the role

Key responsibilities & impact
  • Lead a portfolio of diverse technology projects and a team of developers with deep experience in distributed microservices, and full stack systems to create solutions that help meet regulatory needs for the company
  • Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, mentoring other members of the engineering community, and from time to time, be asked to code or evaluate code
  • Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment
  • Utilize programming languages like JavaScript, Java, HTML/CSS, TypeScript, SQL, Python, and Go, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services

Requirements

What you’ll need
  • Bachelor’s Degree
  • At least 6 years of experience in software engineering (Internship experience does not apply)
  • At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud)
  • 9+ years of experience in at least one of the following: Python, Golang, or Node.js
  • 4+ years of experience with AWS, GCP, Azure, or another cloud service
  • 4+ years of experience in open source frameworks
  • 2+ years of experience in Kubernetes: hands-on deploying and managing large-scale apps on Kubernetes
  • 1+ years of people management experience
  • 2+ years of experience with Amazon SageMaker, Databricks, or another comprehensive ML platform
  • Familiarity with platforms/environments integrating: LLM's, Agentic workflows or control and data planes.

Benefits

Comp & perks
  • Comprehensive, competitive, and inclusive set of health, financial and other benefits
  • Performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
  • Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level
  • Flexible work arrangements.

ATS Keywords

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Hard Skills & Tools
JavaScriptJavaHTMLCSSTypeScriptSQLPythonGoKubernetesAWS
Soft Skills
leadershipmentoringcollaborationcommunicationpassion for technologyteam management
Certifications
Bachelor’s Degree