Lead Software Engineer, Messaging DispatchDo 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 a highly skilled and visionary Lead Back End Software Engineer who is passionate about Artificial Intelligence, Machine Learning, and building intelligent solutions with emerging technologies. As a Capital One Lead, you'll have 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 solutionsCollaborate with digital product managers to design and deliver robust cloud-based solutions that drive powerful, personalized experiences to help millions of Americans achieve financial empowermentDirect 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 appliedLeverage a diverse technical stack including Java, JavaScript, Python, and Go, alongside modern cloud infrastructure, and advanced AWS ecosystems to deliver high-performance software solutionsChampion 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 maintainableBasic Qualifications:Bachelor's DegreeAt 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 Degree7+ years of experience in at least one of the following: Java, JavaScript, Python, Go, TypeScript, or SQL3+ years of experience with AWS, GCP, Azure, or another cloud service4+ years of experience working with various open source frameworks4+ years of experience leading technical direction and executing large scale projects across multiple engineering teams2+ years of experience in Agile practices1+ years of experience working with big data ETL using Dataflow, AWS Glue or Databricks1+ years of experience utilizing Generative AI coding tools and advanced LLM capabilities (such as Claude Code) to enhance engineering productivity1+ years of experience in prompt engineering or developing features enhanced by Artificial IntelligenceExperience utilizing advanced AI tooling and LLM capabilities to drive engineering productivity and innovation