Senior Lead Software Engineer, Full Stack

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

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 (such as Claude Code) 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