Senior Software Engineer, Backend (Streaming Infrastructure)

<div class="content-intro"><p>Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest.</p></div><p>The Streaming team at Affirm forms the backbone of several online and offline workloads at Affirm and drives the strategy for event driven architecture, stream processing, replication, data exploration, discovery and validation. We leverage existing open source technologies like Kafka, Flink, Spark and also build our own as needed to design and build real-time data processing pipelines that handle massive volumes of data across our distributed systems. </p> <p>As a member of our team you would spend time identifying and executing on new use cases of streaming data infrastructure and frameworks , designing and scaling our existing infrastructure and working closely with other teams to promote the optimal use of data at the company. This role requires deep expertise in stream processing technologies and a passion for building scalable, fault-tolerant data infrastructure.</p> <p> </p> <p><strong>What You'll Do</strong><br><br></p> <ul> <li>You will be responsible for owning and delivering quarterly goals for your team, leading engineers on your team through ambiguity to solve open-ended problems, and ensuring that everyone is supported throughout delivery.</li> <li>You will support your 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.</li> <li>You will proactively identify project, process, technology or business issues, advocate for them, and lead in solving them.</li> <li>You will 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.</li> <li>You will foster a culture of quality and ownership on your team by setting or improving code review and design standards for your team, and advocating for them beyond your team through your writing and tech talks.</li> <li> You will help develop talent on your team by providing feedback and guidance, and leading by example.</li> </ul> <p> </p> <p><strong>What We Look For</strong><br> </p> <ul> <li>You have 4+ years of experience designing, developing and launching backend systems at scale using languages like Python or Kotlin.</li> <li>You have a track record of developing highly available distributed systems using technologies like AWS, MySQL and Kubernetes.</li> <li> Experience with Confluent Platform (Schema Registry, Tableflow) is a strong plus</li> <li>Expertise with at least one stream processing frameworks like Spark, Samza, Flink, Beam etc</li> <li> You have experience defining a technical plan for the delivery of a significant feature or system component with an elegant, simple and extensible design. You write high quality code that is easily understood and used by others.</li> <li>You are proficient at making significant changes in a large code base, and have developed a suite of tools and practices that enable you and your team to do so safely.</li> <li>Your experience demonstrates that you take ownership of your growth, proactively seeking feedback from your team, your manager, and your stakeholders.</li> <li>You have strong verbal and written communication skills that support effective collaboration with our global engineering team.</li> <li>This position requires either equivalent practical experience or a Bachelor’s degree in a related field.</li> </ul> <p>Pay Grade - N<br>Equity Grade - 8<br><br>Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills.<br><br>Bas ... (truncated, view full listing at source)