Define control and data plane architecture blueprints and develop implementations that help us realize a highly available, large scale and a provably secure machine learning platform
Lead a portfolio of diverse technology projects and collaborate with a team of developers with deep experience in distributed microservices
Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, mentoring other members of the engineering community, and leading system design and code review sessions
Work cross-functionally with product and program management disciplines, to deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment
Utilize programming languages like Go, Python, and Java, open Source RDBMS and NoSQL databases, container orchestration services including Docker and Kubernetes, and a variety of AWS tools and services to develop highly performant solutions
Bachelor’s Degree
At least 6 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
9+ years of experience in at least one of the following: Go, Java, or Python
4+ years of experience with AWS, GCP, Azure, or another cloud service
2+ years of experience working with Kubernetes
. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
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