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Engaged Employer

Stripe

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3.6

based on 24 Reviews

2 Stripe Staff Engineer Jobs

Staff Engineer - Batch Compute

Stripe

3.6

based on 24 Reviews

7-13 years

Bangalore / Bengaluru

1 vacancy

Staff Engineer - Batch Compute

Stripe

posted 3mon ago

Job Role Insights

Flexible timing

Key skills for the job

Big Data Spark Hadoop Administration IT Infrastructure Data Processing Operational Excellence

+ 3 more

Job Description

Who we are About Stripe

About the team

The Batch Compute team at Stripe manages the infrastructure, tooling and systems behind running batch processing systems at Stripe, which are currently powered by Hadoop and Spark. Batch processing systems power several core asynchronous workflows at Stripe and operate at significant scale.

Were 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 batch processing jobs. You will have an opportunity to play a hands-on role in significantly rearchitecting our current infrastructure to be much more efficient and resilient. This re-architecture will introduce disaggregation of Hadoop storage and compute with open source solutions.

Responsibilities

Scope and lead technical projects within the Batch 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 Batch 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

8+ 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 infrastructure as a product centered around user needs.
Experience optimizing the end to end performance of distributed systems.
Experience with scaling distributed systems in a rapidly moving environment.

Preferred qualifications

Experience as a user of batch processing systems (Hadoop, Spark)
Track record of open source contributions to data processing or big data systems (Hadoop, Spark, Celeborn, Flink, etc)