Senior Lead Software Engineer, Distributed Systems (Golang + Python on Kubernetes)

Capital One Financial

Quick summary

Work type
On-site
Location
San Francisco, CA · McLean, VA · Cambridge, MA · San Jose, CA · New York, NY
Salary
$229,900–$262,400 / yr
Posted
1 day ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $198k
This role $246k
$162k most similar roles pay here $273k

This role pays more than 93% of similar roles. Most pay $172,990–$222,437 — the shaded band above. At the midpoint, this role pays about $246k versus about $198k for comparable roles.

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 498 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 495 roles with salary data.

Most-posted roles

View all roles at Capital One Financial

At a glance

TL;DR · Senior Lead Software Engineer, Distributed Systems (Golang + Python on Kubernetes)

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As a Senior Lead Software Engineer on the Machine Learning Experience Team (MLX Tech) at Capital One, you will lead the development and deployment of AI/ML solutions using Golang and Python in a Kubernetes environment. Your role involves building scalable platforms that enable rapid and responsible implementation of machine learning technologies across the organization. You will work closely with interdisciplinary teams to deploy large-scale applications on Kubernetes and utilize comprehensive ML platforms like Amazon SageMaker or Databricks, ensuring that Capital One customers benefit from cutting-edge AI capabilities. This position requires a deep understanding of cloud services such as AWS, GCP, or Azure, along with extensive experience in Python, Golang, or Node.js, making it ideal for those passionate about merging data and emerging technologies at scale.

Skills

Python Golang Kubernetes AWS Docker CI/CD Amazon SageMaker Databricks PostgreSQL Redis Prometheus Grafana

What you'll do

  • Design and implement large-scale distributed systems using Golang and Python.
  • Deploy and manage applications on Kubernetes in a production environment.
  • Utilize cloud services like AWS, GCP, or Azure for scalable solutions.
  • Work with comprehensive ML platforms such as Amazon SageMaker or Databricks.
  • Mentor junior engineers and contribute to the team's technical direction.

What we're looking for

  • 9+ years of experience in Python, Golang, or Node.js
  • 4+ years of experience with AWS, GCP, Azure, or another cloud service
  • 2+ years of hands-on Kubernetes deployment and management for large-scale applications
  • 2+ years of experience with Amazon SageMaker, Databricks, or similar comprehensive ML platforms
  • Master’s Degree required

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