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
Salary
$229,900–$262,400 / yr
Posted
108 days ago
Freshness
Confirmed live yesterday
Nearby
99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $208k
This role $246k
$184k most similar roles pay here $271k

This role pays more than 93% of similar roles. Most pay $192,050–$223,750 — the shaded band above. At the midpoint, this role pays about $246k versus about $208k 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 998 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 992 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

Role Posting Log in to save

As a Senior Lead Software Engineer, Distributed Systems (Golang + Python on Kubernetes), you will join the Machine Learning Experience Team to build platforms that enable the rapid development and deployment of AI/ML solutions at scale. You will lead a portfolio of diverse technology projects and manage a team of developers with expertise in distributed microservices and full stack systems to meet regulatory needs. Your daily work involves collaborating with product managers to deliver robust cloud-based solutions while mentoring others and staying current on tech trends. The role requires proficiency in Python, Go, JavaScript, Java, HTML/CSS, TypeScript, and SQL. You will utilize tools including Docker, Kubernetes, various AWS services, and open source RDBMS or NoSQL databases. This position focuses on leveraging Generative AI to solve complex problems within the financial technology space.

Skills

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

What you'll do

  • Lead a portfolio of diverse technology projects and a team of developers in distributed microservices and full-stack systems.
  • Develop robust cloud-based solutions using AWS, Docker, and Kubernetes to meet regulatory requirements.
  • Build platforms that enable the rapid development and deployment of AI/ML solutions at scale.
  • Utilize Go, Python, Java, and SQL to build high-scale backend and frontend applications.
  • Mentor other members of the engineering community and participate in technology communities.
  • Evaluate code and perform hands-on coding as required by project needs.
  • Leverage interactive AI tooling and machine learning platforms like SageMaker or Databricks to accelerate productivity.

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).
  • 9+ years of experience in at least one of Python, Golang, or Node.js.
  • 4+ years of experience with AWS, GCP, Azure, or other cloud services.
  • 2+ years of experience deploying and managing large-scale apps on Kubernetes.
  • 1+ years of people management experience.
  • Experience with machine learning platforms like Amazon SageMaker or Databricks.
  • Bachelor’s Degree.

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