Lead Software Engineer, MLOps

Capital One Financial

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
McLean, VA
Salary
$197,300–$225,100 / yr
Posted
17 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $202k
This role $211k
$174k most similar roles pay here $231k

This role pays more than 75% of similar roles. Most pay $192,050–$211,342 — the shaded band above. At the midpoint, this role pays about $211k versus about $202k 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.

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View all roles at Capital One Financial

At a glance

TL;DR · Lead Software Engineer, MLOps

Lead Software Engineer - MLOps joins the Bank Tech Data, Decisioning, & Market Services team to bridge the gap between software engineering, cloud infrastructure, and machine learning. This role involves leading a portfolio of projects, mentoring developers, and driving Agile practices while managing the end-to-end MLOps lifecycle. You will build scalable infrastructure, productionize data pipelines, and deploy research models into production microservices for high-stakes applications like fraud detection and vulnerability management. The work focuses on creating modern data architecture to provide predictive insights and scale AI-driven decisioning models. Key technologies include Python, Java, Scala, SQL, and Go, alongside tools such as AWS, Docker, Kubernetes, PyTorch, TensorFlow, Spark, and scikit-learn. You will also utilize interactive AI tooling to accelerate productivity while ensuring system resiliency and performing vulnerability remediations across the enterprise-grade machine learning platforms.

What you'll do

  • Lead a portfolio of software and MLOps projects while mentoring developers and driving Agile practices.
  • Manage the end-to-end MLOps lifecycle by transitioning research models into scalable production microservices.
  • Design, build, and optimize automated data pipelines and model serving platforms for high-stakes applications.
  • Develop performant, maintainable code using Python, Java, or Scala while ensuring system resiliency.
  • Implement continuous monitoring systems for real-time fraud detection and vulnerability management.
  • Manage enterprise-grade ML platforms using AWS cloud infrastructure and container orchestration tools like Docker and Kubernetes.
  • Utilize machine learning frameworks such as PyTorch, TensorFlow, and Spark to automate model deployment.

What we're looking for

  • At least 4 years of experience programming with Python, Scala, or Java.
  • At least 1 year of experience with cloud computing (AWS, Microsoft Azure, or Google Cloud).
  • At least 2 years of experience building, scaling, and optimizing ML systems.
  • Master's Degree (preferred).
  • 4+ years of experience building production-ready data pipelines that feed ML models (preferred).
  • 7+ years of experience in at least one of the following: Java, SQL, Python, or Go (preferred).
  • 2+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow (preferred).

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