Monograph
Software Engineer, Data Processing Infra
Monograph, South San Francisco, California, us, 94083
Who we are
About Stripe
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.About the team
The Stream Compute team at Stripe manages the infrastructure, tooling, and systems behind our Flink-powered stream processing systems. We're at the heart of several core asynchronous workflows, operating at significant scale and handling vast amounts of sensitive financial data. Our work powers intricate processes involving various critical financial operations and real-time analytics.What makes our team truly exciting is our commitment to our users: we ensure no event is dropped, state integrity is preserved, and support exactly-once processing as a first-class feature. Working at the intersection of real-time data processing and fintech innovation, we continuously push the boundaries of what's possible. Our focus on innovation, user experience, reliability, and compliance drives increased ROI and operational excellence, making us a crucial part of Stripe's success.What you’ll do
We're looking for a Software Engineer with experience designing, building and maintaining high-scale, distributed systems. You will work with a team that is in charge of the core infrastructure used by the product teams to build and operate stream processing jobs. You will have an opportunity to play a hands-on role in significantly advancing our current infrastructure to be much more efficient and resilient.Responsibilities
Scope and lead technical projects within the Stream Compute domain.Build and maintain the infrastructure which powers the core of Stripe.Directly contribute to core systems and write code.Work closely with the open source community to identify opportunities for adopting new open source features as well contribute back to the OSS.Ensure operational excellence and enable a highly available, reliable and secure Stream Compute platform.Who you are
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.Minimum requirements
4+ years of professional experience writing high quality production level code or software programs.Have experience with distributed data systems such as Spark, Flink, Trino, Kafka, etc.Experience developing, maintaining and debugging distributed systems built with open source tools.Experience building and scaling infrastructure as a product.Preferred qualifications
Experience as a user of stream processing, authoring and optimizing Flink, Spark Streaming, Storm, Trill, Kafka, and/or Apache Beam applications.Experience building and maintaining a multi-tenant data-plane and/or control-plane.Open source contributions to data processing or big data systems (Hadoop, Spark, Celeborn, Flink, etc).
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About Stripe
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.About the team
The Stream Compute team at Stripe manages the infrastructure, tooling, and systems behind our Flink-powered stream processing systems. We're at the heart of several core asynchronous workflows, operating at significant scale and handling vast amounts of sensitive financial data. Our work powers intricate processes involving various critical financial operations and real-time analytics.What makes our team truly exciting is our commitment to our users: we ensure no event is dropped, state integrity is preserved, and support exactly-once processing as a first-class feature. Working at the intersection of real-time data processing and fintech innovation, we continuously push the boundaries of what's possible. Our focus on innovation, user experience, reliability, and compliance drives increased ROI and operational excellence, making us a crucial part of Stripe's success.What you’ll do
We're looking for a Software Engineer with experience designing, building and maintaining high-scale, distributed systems. You will work with a team that is in charge of the core infrastructure used by the product teams to build and operate stream processing jobs. You will have an opportunity to play a hands-on role in significantly advancing our current infrastructure to be much more efficient and resilient.Responsibilities
Scope and lead technical projects within the Stream Compute domain.Build and maintain the infrastructure which powers the core of Stripe.Directly contribute to core systems and write code.Work closely with the open source community to identify opportunities for adopting new open source features as well contribute back to the OSS.Ensure operational excellence and enable a highly available, reliable and secure Stream Compute platform.Who you are
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.Minimum requirements
4+ years of professional experience writing high quality production level code or software programs.Have experience with distributed data systems such as Spark, Flink, Trino, Kafka, etc.Experience developing, maintaining and debugging distributed systems built with open source tools.Experience building and scaling infrastructure as a product.Preferred qualifications
Experience as a user of stream processing, authoring and optimizing Flink, Spark Streaming, Storm, Trill, Kafka, and/or Apache Beam applications.Experience building and maintaining a multi-tenant data-plane and/or control-plane.Open source contributions to data processing or big data systems (Hadoop, Spark, Celeborn, Flink, etc).
#J-18808-Ljbffr