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Lead Full Stack Software Engineer
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Capital One is seeking a Lead Full Stack Software Engineer
Capital One is seeking a Lead Full Stack Software Engineer to lead a portfolio of technology projects and guide a team of developers in the Marketing and Messaging organization. The role focuses on designing and delivering cloud-based solutions using AI, machine learning, and emerging technologies. Responsibilities include leading technical direction, mentoring engineers, and leveraging a diverse tech stack (Java, JavaScript, Python, Go) with AWS infrastructure to create hyper-personalized consumer experiences.
Overview
Capital One is seeking a Lead Full Stack Software Engineer who is passionate about Artificial Intelligence, Machine Learning, and building intelligent solutions with emerging technologies. This role offers the opportunity to be on the forefront of driving a major transformation within Capital One.
The Team
The Marketing and Messaging organization focuses on engineering hyper-personalized, high-impact consumer experiences across omnichannel platforms. The team builds scalable platforms that deliver omnichannel messages to customers and prospects.
What You'll Do
- Lead a portfolio of diverse technology projects and guide a team of developers with deep experience in distributed microservices and full stack systems to create solutions
- Collaborate with digital product managers to design and deliver robust cloud-based solutions that drive powerful, personalized experiences to help millions of Americans achieve financial empowerment
- Direct the design, development, testing, and implementation of technical solutions using AI technologies, large language models (LLMs), and cloud infrastructure, ensuring sound data design practices are applied
- Leverage a diverse technical stack including Java, JavaScript, Python, and Go, alongside modern cloud infrastructure, and advanced AWS ecosystems to deliver high-performance software solutions
- Champion the growth of our engineering community through active mentorship, while driving excellence in delivery by conducting rigorous code reviews to ensure technical solutions are performant and maintainable
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Basic Qualifications
- Bachelor's Degree
- At least 4 years of professional software engineering experience (Internship experience does not apply)
- At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud)
Preferred Qualifications
- Master's Degree
- 7+ years of experience in at least one of the following: Java, JavaScript, Python, Go, TypeScript, or SQL
- 3+ years of experience with AWS, GCP, Azure, or another cloud service
- 4+ years of experience working with various open source frameworks
- 4+ years of experience leading technical direction and executing large scale projects across multiple engineering teams
- 2+ years of experience in Agile practices
- 1+ years of experience working with big data ETL using Dataflow, AWS Glue, or Databricks
- 1+ years of experience utilizing Generative AI coding tools and advanced LLM capabilities to enhance engineering productivity
- 1+ years of experience in prompt engineering or developing features enhanced by Artificial Intelligence
- Experience utilizing advanced AI tooling and LLM capabilities to drive engineering productivity and innovation
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Compensation
- McLean, VA: $197,300 - $225,100
- New York, NY: $215,200 - $245,600
- Richmond, VA: $179,400 - $204,700
This role is also eligible to earn performance based incentive compensation, which may include cash bonuses and/or long term incentives. Capital One offers a comprehensive, competitive, and inclusive set of health, financial, and other benefits.
Additional Notes
At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position.
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