Staff Software Engineer, Backend (Streaming)
Software Development
WFA Digital Insight
As demand for real-time data processing grows, skilled engineers are in high demand. Affirm stands out for its commitment to honest and friendly credit solutions, and this role offers a chance to build scalable infrastructure. With 8+ years of experience required, candidates should be prepared to showcase their expertise in stream processing technologies and passion for building fault-tolerant systems.
Job Description
About the Role
The Streaming team at Affirm forms the backbone of several online and offline workloads, driving the strategy for event-driven architecture and stream processing. As a Staff Software Engineer, you will design and build real-time data processing pipelines that handle massive volumes of data across distributed systems.Responsibilities
- Design and build data infrastructure systems, services, and tools to handle new products and business requirements
- Build and optimize high-throughput, low-latency data pipelines for critical business applications
- Build frameworks and services for other engineering teams to manage loans and power customer experiences
- Improve the reliability and efficiency of the Data Platform at scale and high availability
- Collaborate with other teams to deliver streaming solutions based on various use-cases and best practices
- Monitor, troubleshoot, and maintain production streaming systems
How to Stand Out
- Be prepared to discuss your experience with stream processing technologies like Kafka, Flink, and Spark
- Showcase your ability to design and build scalable, fault-tolerant data infrastructure
- Highlight your passion for building real-time data processing pipelines and handling massive volumes of data
- Prepare to talk about your experience collaborating with other teams to deliver streaming solutions
- Emphasize your expertise in improving the reliability and efficiency of data platforms at scale
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