Software Engineer II, Backend (Streaming)

Affirm

5h•$146,000 - $225,000•Remote

About The Position

The Streaming team at Affirm is responsible for all things data and drives the strategy for event driven architecture, stream processing, data exploration, discovery and validation. We leverage existing open source technologies like Kafka, Flink, Schema registry and also build our own as needed. As a member of our team you would spend time identifying and executing on new use cases of data infrastructure, designing and scaling our existing infrastructure and working closely with other teams to promote the optimal use of data at the company.

Requirements

A total of 1.5+ years of experience as a software engineer.
Experience designing, developing and launching backend systems.
Proficient in one of Python or Kotlin.
Familiarity with the building blocks of distributed systems, and the technologies like AWS, Kafka, Flink and Kubernetes.
Mastery in taking a simple problem or business scenario into a solution that interacts with multiple software components, and executing on it by writing clear, easily understood, well tested and extensible code.
Comfortable navigating a large code base, debugging others' code, and providing feedback to other engineers through code reviews.
Experience demonstrating ownership of growth, proactively seeking feedback from your team, your manager, and your stakeholders.
Strong verbal and written communication skills that support effective collaboration with our global engineering team.
Equivalent practical experience or a Bachelor’s degree in a related field.

Responsibilities

Break down larger projects into individual tasks, deliver them in multiple phases, and collaborate with others to ensure timely delivery of your work.
Support peers and stakeholders in the product development lifecycle by collaborating with product management, design & analytics by participating in ideation, articulating technical constraints, and partnering on decisions that properly consider risks and trade-offs.
Support the operations and availability of your team’s artifacts by creating and monitoring metrics, escalating when needed, and supporting “keep the lights on” & on-call efforts.
Contribute to a sense of community on your team by engaging in growth and development activities such as participation in the interview process.