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Staff Software Engineer, Stream Compute

14 hours, 36 minutes ago
United States, Canada
Lead
Software Engineer
Software Development
Apache Spark AWS Go Hadoop Java Kafka Scala SQL Storm
Apply Now
Stripe

Stripe

Stripe is a global technology company that provides financial infrastructure for the internet. They offer a suite of APIs and tools for businesses to accept online and in-person payments, automate financial processes, and embed financial services in th...

Diversified Financial Services
5K-10K
Founded 2009
$8700M raised
View All Jobs 49

Description

  • Design, build, and operate stream compute infrastructure centered on Apache Flink and related technologies such as Kafka, Temporal, and AWS services.
  • Partner with product and platform teams to understand requirements, support Flink adoption, and improve end-to-end infrastructure usage.
  • Define and implement operational best practices to improve resilience and reliability at scale.
  • Drive fleet-level automation and standardization through self-service workflows, safer rollouts, and self-healing systems.
  • Lead initiatives to improve Flink availability, state durability, disaster recovery readiness, and incident learning.
  • Evaluate and productionize Flink ecosystem capabilities such as SQL, connectors, and state backends.
  • Work with the open source community to adopt new features and contribute back to open source projects.
  • Set long-term technical direction for Stripe’s Flink-first stream compute infrastructure.
  • Solve production challenges in state management, exactly-once processing, performance isolation, and automated recovery.

Requirements

  • 10+ years of experience building, operating, and evolving large-scale production systems.
  • Experience as a technical lead for teams working on distributed systems in fast-moving environments.
  • Hands-on experience with big data technologies such as Flink, Spark, Kafka, Pulsar, or Pinot.
  • Experience developing, maintaining, and debugging distributed systems built with open source tools.
  • Experience building and scaling infrastructure as a product.
  • Strong software engineering skills and a passion for big data distributed systems.
  • Ability to write high-quality code in programming languages such as Go, Java, or Scala.
  • Comfort operating with high autonomy and ownership.
  • Growth mindset and willingness to learn quickly, explore ambiguous problem spaces, and dive deep when needed.
  • Strong written and verbal communication skills, including the ability to produce clear technical documentation.
  • Experience operating streaming infrastructure as a platform for internal customers at scale, preferred.
  • Deep hands-on experience with real-time processing frameworks such as Flink, Spark Streaming, Storm, or Kafka Streams in production, preferred.
  • Experience building or operating control planes for managing large-scale infrastructure, preferred.
  • Open source contributions to data processing or big data systems such as Hadoop, Spark, Celeborn, or Flink, preferred.

Interested in this position?

Apply directly on the company website

Apply Now

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