Senior Lead Software Engineer, Distributed Systems

Capital One Financial

Confirmed live yesterday Low trust

Quick summary

Work type
On-site
Location
San Francisco, CAMcLean, VACambridge, MASan Jose, CANew York, NY
Employment
Full-time
Posted
102 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

How this pay compares to similar roles

Similar $196k
$136k $253k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $166,038–$226,350.

Based on 240 similar postings.

Employer

About Capital One Financial

Capital One Financial is a bank holding company specializing in credit cards, auto loans, banking, and savings products, known for its data-driven approach to consumer and commercial finance. Industry: Financial Services & Banking

Capital One Financial currently has 2107 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 1107 roles with salary data.

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At a glance

TL;DR · Senior Lead Software Engineer, Distributed Systems

The Senior Lead Software Engineer, Distributed Systems (Golang + Python on Kubernetes) joins the Machine Learning Experience Team to pioneer the responsible implementation of AI and machine learning across the organization. This role involves leading a portfolio of diverse technology projects and a team of developers to build distributed microservices and full stack systems that meet regulatory needs. You will develop robust cloud-based solutions to help customers achieve financial empowerment by harnessing generative AI. Key responsibilities include mentoring engineers, evaluating code, and managing large-scale applications. The technical stack includes JavaScript, Java, HTML/CSS, TypeScript, SQL, Python, and Go, alongside Open Source RDBMS and NoSQL databases. You will also utilize Docker, Kubernetes, various AWS tools, and platforms like Amazon SageMaker or Databricks.

What you'll do

  • Lead a portfolio of diverse technology projects and a team of developers.
  • Build distributed microservices and full-stack systems to meet regulatory needs.
  • Develop and deploy AI/ML solutions at scale using Generative AI.
  • Build platforms that enable rapid development and deployment of machine learning models.
  • Deliver robust cloud-based solutions using AWS, Docker, and Kubernetes.
  • Write and evaluate code using Golang, Python, JavaScript, and SQL.
  • Mentor other members of the engineering community.

What we're looking for

  • At least 6 years of experience in software engineering.
  • At least 1 year of experience with cloud computing (AWS, Microsoft Azure, or Google Cloud).
  • Master’s Degree (preferred)
  • 9+ years of experience in at least one of the following: Python, Golang, or Node.js (preferred)
  • 4+ years of experience with AWS, GCP, Azure, or another cloud service (preferred)
  • 4+ years of experience in open source frameworks (preferred)
  • 2+ years of experience in Kubernetes: hands-on deploying and managing large-scale apps on Kubernetes (preferred)

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