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
154 days ago
Freshness
Confirmed live yesterday
Nearby
99+ roles within 25 mi

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

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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 company. 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 and platforms that enable the rapid deployment of generative AI solutions at scale. The position requires proficiency in JavaScript, Java, HTML/CSS, TypeScript, SQL, Python, and Go, along with experience in Open Source RDBMS, NoSQL databases, Docker, Kubernetes, and various AWS tools. You will solve complex technical problems by marrying data with emerging technologies to drive powerful customer experiences.

Skills

Python Golang Kubernetes AWS Docker TypeScript Java Node.js SQL NoSQL Amazon SageMaker Databricks HTML/CSS JavaScript Microsoft Azure Distributed Systems Microservices Machine Learning Generative AI

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 robust cloud-based solutions using AWS, Docker, and Kubernetes.
  • Implement AI/ML solutions and platforms at scale using Generative AI.
  • Write and evaluate code using Python, Golang, JavaScript, and SQL.
  • Mentor other members of the engineering community.
  • Manage the deployment and scaling of large-scale applications on Kubernetes.

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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