AWSAzureCloudETLGoogle Cloud PlatformJavaJavaScriptMicroservicesOpen SourcePythonSQLTypeScriptGoAIArtificial IntelligenceGenerative AILLMLarge Language ModelsClaudeDatabricksGCPGoogle CloudGlueAgile
About this role
Role Overview
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
Requirements
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)
Master’s Degree (preferred)
7+ years of experience in at least one of the following: Java, JavaScript, Python, Go, TypeScript, or SQL (preferred)
3+ years of experience with AWS, GCP, Azure, or another cloud service (preferred)
4+ years of experience working with various open source frameworks (preferred)
4+ years of experience leading technical direction and executing large scale projects across multiple engineering teams (preferred)
2+ years of experience in Agile practices (preferred)
1+ years of experience working with big data ETL using Dataflow, AWS Glue or Databricks (preferred)
1+ years of experience utilizing Generative AI coding tools and advanced LLM capabilities (such as Claude Code) to enhance engineering productivity (preferred)
1+ years of experience in prompt engineering or developing features enhanced by Artificial Intelligence (preferred)
Experience utilizing advanced AI tooling and LLM capabilities to drive engineering productivity and innovation
Tech Stack
AWS
Azure
Cloud
ETL
Google Cloud Platform
Java
JavaScript
Microservices
Open Source
Python
SQL
TypeScript
Go
Benefits
Comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being