# Full Stack Engineer 4 - MLOps

**Company**: Capital One
**Location**: McLean, VA
**Experience**: senior
**Job type**: full-time
**Salary**: $197,300 - $225,100
**Category**: Engineering
**Industry**: Finance

**Apply**: https://capitalone.wd12.myworkdayjobs.com/en-US/Capital_One/job/McLean-VA/Full-Stack-Engineer-4---MLOps_R1001163-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_b47f7756-ba4

## Description

We are seeking a Full Stack Engineer 4 - MLOps to join our team at Capital One. As a Software Engineer, you will aid engineering teams in building scalable ML infrastructure, productionizing data pipelines, and driving a major technology transformation within Capital One.

The Bank Tech Data, Decisioning, & Market Services Domain serves as the analytical engine of the bank, building the infrastructure that turns data into smart, fast decisions. We integrate data and AI capabilities into a single, cohesive platform that supports our business and capital market teams.

**Responsibilities:**

- Design, build, and optimize automated data pipelines, model serving platforms, and continuous monitoring systems for high-stakes applications like real-time account takeover fraud detection and AI-driven vulnerability management.

- Write performant, maintainable code using Python (with Java/Scala as secondary stack components) anchored in strong software engineering practices, vulnerability remediations, and system resiliency.

- Balance hands-on software development and MLOps engineering with technical delivery leadership, guiding engineers, partnering with product management, and coordinating cross-functional rollouts.

- Harness cloud infrastructure (AWS), container orchestration (Docker/Kubernetes), ML tooling (PyTorch, TensorFlow, Spark), and interactive AI tools to automate model deployment and manage enterprise-grade ML platforms.

**Basic Qualifications:**

- Bachelor's Degree or higher in Computer Science or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)

- At least 4 years of experience in software engineering (Internship experience does not apply)

- At least 2 years of experience with public cloud platforms (AWS, GCP, Azure), cloud-based productivity tools, or virtualization technologies

- At least 2 years of experience building, scaling, and optimizing ML systems

**Preferred Qualifications:**

- Master’s Degree in Computer Science or a related field

- 4+ years of experience building production-ready data pipelines that feed ML models

- 3+ years of experience developing performant, resilient, and maintainable code

- 7+ years of experience in at least one of the following: Java, SQL, Python, or Go

- 2+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow

- 3+ years of experience developing performant, resilient, and maintainable code

- 3+ years of experience with data gathering and preparation for ML models

- 4+ years of experience in open source frameworks

- 1+ years of people management experience

- 2+ years of experience in Agile practices

- Experience collaborating with data science teams and technical stakeholder

- Experience leveraging interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion

**Salary Information:**

The minimum and maximum full-time annual salaries for this role are $197,300 - $225,100.

**Benefits:**

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being.

## Skills

### Required
- Python
- Java
- Scala
- AWS
- Docker
- Kubernetes
- PyTorch
- TensorFlow
- Spark
- ML

### Nice to have
- Master’s Degree in Computer Science
- production-ready data pipelines
- performant code
- Agile practices
- people management
- interactive AI tooling

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Source: [Apply at capitalone.wd12.myworkdayjobs.com](https://capitalone.wd12.myworkdayjobs.com/en-US/Capital_One/job/McLean-VA/Full-Stack-Engineer-4---MLOps_R1001163-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)