Lead Software Engineer - MLOps

Capital One; North Dakota; On-site; USD 197,000 - 225,000; Full time

Job summary

Capital One is seeking a Lead Software Engineer specializing in MLOps to bridge software engineering, cloud infrastructure, and AI-driven decisions. You will lead engineering teams to build scalable ML infrastructure, productionize data pipelines, and drive a major technology transformation.

The role emphasizes hands-on coding (Python with Java/Scala), data pipelines, model deployment, and collaboration with product management in an Agile environment.

Qualifications

• Bachelor's Degree in a relevant field.
• 4+ years of experience in Python/Scala/Java.
• 1+ year of cloud computing (AWS/Azure/GCP).
• 2+ years of building ML systems.

Responsibilities

• Lead a portfolio of software and MLOps projects, mentoring developers and driving Agile practices.
• Own the end-to-end MLOps lifecycle from model research to production deployment.
• Design, build and optimize automated data pipelines and model serving platforms.
• Write performant, maintainable code with Python and Java/Scala, focusing on security and resiliency.
• Balance hands-on development with technical delivery leadership across teams.
• Harness AWS, Docker/Kubernetes, PyTorch/TensorFlow for enterprise ML platforms.

Skills

Python

Scala

Java

Agile practices

Leadership

Mentoring

Cloud engineering

Education

Bachelor's Degree

Master's Degree

Tools

AWS

Azure

Google Cloud

Docker

Kubernetes

PyTorch

TensorFlow

Spark

scikit-learn

Job description

Lead Software Engineer - MLOps

Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you’ll be part of a big group of makers, breakers, doers and disruptors who solve real problems and meet real customer needs. We are seeking Lead Software Engineers who specialize in full-stack architecture and MLOps to bridge the gap between software engineering, cloud infrastructure, and machine learning. As a Capital One Lead Software Engineer, you’ll lead 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. Our focus is on creating a modern data architecture that allows us to leverage information responsibly, providing the predictive insights needed to deliver better outcomes for our clients. Looking ahead, our imperatives are centered on evolving our predictive insights and scaling our AI-driven decisioning models.

What You'll Do:

• Lead a portfolio of software and MLOps projects, mentoring developers, driving Agile practices, and leveraging interactive AI tooling to accelerate team productivity.

• Own the end-to-end MLOps lifecycle by taking research models built by data scientists, building scalable infrastructure, and deploying them into production microservices.

• 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

• At least 4 years of experience programming with Python, Scala, or Java (Internship experience does not apply)

• At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud)

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

Preferred Qualifications:

• Master's Degree

• 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

At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (e.g. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-3, and O-1, or any other forms of work authorization that require immigration support from an employer).

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

McLean, VA: $197,300 - $225,100 for Lead Software Engineer

Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.

This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.