Senior Lead Software Engineer, Full Stack

Capital One • Plano, TX

1d

About The Position

Senior Lead Software Engineer, Full Stack 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 AI & Full Stack Software Engineers who are passionate about marrying data with emerging technologies. As a Capital One Senior Lead Software Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One. What You’ll Do: Lead a portfolio of diverse technology projects and a team of developers specializing in distributed microservices and full-stack systems. Drive the integration of Generative AI and Machine Learning models to automate regulatory monitoring and create predictive compliance solutions that safeguard company assets. Share your passion for staying on top of tech trends, specifically advocating for Responsible AI practices. Experiment with LLMs and Agentic workflows, participate in tech communities, and mentor the engineering team on AI ethics, prompt engineering, and bias mitigation while remaining hands-on with code evaluation. Partner with digital product managers to deliver robust, cloud-based solutions. Leverage AI-driven personalization and natural language interfaces to create intuitive experiences that help millions of Americans achieve financial empowerment through smarter, data-informed decision-making. Utilize programming languages like JavaScript, Java, Python, and Go, alongside AWS tools and Kubernetes. Architect scalable AI infrastructure using Open Source RDBMS/NoSQL databases and AWS SageMaker or Bedrock to deploy, monitor, and scale production-grade AI models securely.

Requirements

• Bachelor’s Degree
• At least 6 years of experience in software engineering (Internship experience does not apply)
• At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud)

Nice To Haves

• Master’s Degree
• 9+ years of experience in at least one of the following: JavaScript, Java, TypeScript, SQL, Python, or Go
• 4+ years of experience with AWS, GCP, Microsoft Azure, or another cloud service
• 4+ years of experience in open source frameworks
• 2+ years of experience in Agile practices

Responsibilities

• Lead a portfolio of diverse technology projects and a team of developers specializing in distributed microservices and full-stack systems.
• Drive the integration of Generative AI and Machine Learning models to automate regulatory monitoring and create predictive compliance solutions that safeguard company assets.
• Share your passion for staying on top of tech trends, specifically advocating for Responsible AI practices.
• Experiment with LLMs and Agentic workflows, participate in tech communities, and mentor the engineering team on AI ethics, prompt engineering, and bias mitigation while remaining hands-on with code evaluation.
• Partner with digital product managers to deliver robust, cloud-based solutions.
• Leverage AI-driven personalization and natural language interfaces to create intuitive experiences that help millions of Americans achieve financial empowerment through smarter, data-informed decision-making.
• Utilize programming languages like JavaScript, Java, Python, and Go, alongside AWS tools and Kubernetes.
• Architect scalable AI infrastructure using Open Source RDBMS/NoSQL databases and AWS SageMaker or Bedrock to deploy, monitor, and scale production-grade AI models securely.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level