Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.
The group is responsible for offering data serving infrastructure spanning across data warehouse analytics, streaming analytics and search capabilities. The stack is supported by a collection of internally developed large scale distributed services and several popular open source technologies like Trino/Presto, Apache Pinot, Hive Metastore, ElasticSearch etc. The systems we own support all of the data serving needs of high scale services and thousands of individual Stripes across the company. We process hundreds of thousands of search and analytics shaped queries on petabytes of data ingested through real-time streaming and large batch ingestion pipelines. We are the data serving layer for one of the largest financial data lakes in the world.
You will work as a tech lead across the data serving space and will be a key contributor to the evolution of our platform. You will directly influence how Stripe analyzes its vast and ever growing data lake. As a Staff Engineer, you’ll be empowered to make decisions with a large impact on Stripe. You will guide our investments and strategy while making our systems reliable, secure, and a delight to use. Staff Engineers at Stripe are expected and empowered to operate autonomously and are counted on to help drive Stripe forward. In this role, you will work closely and frequently with the other tech staff & senior leadership across Stripe’s data platform and have opportunities to significantly influence the overall data strategy for Stripe. We’re looking for people with a strong background and demonstrated leadership in data platform technologies.
We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.