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. 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. 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. 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. Key Responsibilities - Design and build data infrastructure systems, services and tools to handle new Affirm products and business requirements that securely scale over millions of users and their transactions. - Build and optimize high-throughput, low-latency data pipelines for critical business applications - Build frameworks and services which will be used by other engineering teams at Affirm to manage billions of dollars in loans and power customer experiences. - Help support the Streaming team that forms the backbone for several online and offline workloads at affirm. - Improve the reliability and efficiency of the Data Platform at scale and high availability. - Collaborate with other teams at Affirm, including ML and Analytics, to deliver streaming solutions based on various use-cases and best practices - Monitor, troubleshoot, and maintain production streaming systems, ensuring high availability and reliability of data systems What We Look For: - 8+ years of industry experience in building large scale production systems. - Strong hands on experience with Apache Kafka or similar streaming solutions for large-scale event streaming and message queueing - Experience building and operating robust and highly available infrastructure. - Experience working with data platforms like Snowflake, Glue or Databricks is a plus - Experience with Confluent Platform (Schema Registry, Tableflow) is a strong plus. - Expertise with at least one stream processing frameworks like Spark, Samza, Flink, Beam etc. - Hands-on experience with Kafka Connect, and Kafka Schema Registry components, understanding its underlying functionality and implementation - Solid programming skills in Python, Java or Kotlin. - Experience with Apache Iceberg table format, CDC (Change Data Capture) tools is a strong plus - Knowledge of Relational and NoSQL databases is a plus. - Experience leading technical projects and mentoring junior engineers. - Exceptionally collaborative with a history of delivering complex technical projects and working closely with stakeholders. Location - Remote Canada Pay Grade - P Equity Grade - 7 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. Base pay is part of a total compensation package that may include monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents). In addition, the employees may be eligible for equity rewards offered by Affirm Holdings, Inc. (parent company). CAN base pay range per year: $178,000 - $228,000 #LI-Remote Affirm is proud to be a remote-first company! The majority of our roles are remote and you can work almost anywhere within the country of employment. Affirmers in proximal roles have the flexibility to work remotely, but will occasionally be required to work out of their assigned Affirm office. A limited number of roles remain office-based due to the nature of their job responsibilities. We’re extremely proud to offer competitive benefits that are anchored to our core value of people come first. Some key highlights of our benefits package include: - Health care coverage - Affirm covers all premiums for all levels of coverage for you and your dependents - Flexible Spending Wallets - generous stipends for spending on Technology, Food, various Lifestyle needs, and family forming expenses - Time off - competitive vacation and holiday schedules allowing you to take time off to rest and recharge - ESPP - An employee stock purchase plan enabling you to buy shares of Affirm at a discount We believe It’s On Us to provide an inclusive interview experience for all, including people with disabilities. We are happy to provide reasonable accommodations to candidates in need of individualized support during the hiring process. [For U.S. positions that could be performed in Los Angeles or San Francisco] Pursuant to the San Francisco Fair Chance Ordinance and Los Angeles Fair Chance Initiative for Hiring Ordinance, Affirm will consider for employment qualified applicants with arrest and conviction records. By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and hereby freely and unambiguously give informed consent to the collection, processing, use, and storage of your personal information as described therein.

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. The Engineering team that builds systems that power Affirm’s mission. We take pride in our craft, building reliable, performant, and scalable solutions that touch every part of the business. Whether we’re enabling new ways to pay, ensuring our platforms can scale to the most demanding levels in the industry, or developing seamless servicing experiences, our focus is on solving complex problems through exceptional engineering. About the teamThe Growth Platform Engineering team builds the core systems and tools that drive user acquisition, engagement, and lifecycle growth at Affirm. Our platform enables personalized communications, intelligent experimentation, and scalable services that help customers discover and adopt Affirm’s products. We collaborate closely with Product, Data Science, and Experience teams to design APIs, event-driven services, and experimentation frameworks that reach millions of customers across thousands of merchants. This team’s work directly impacts how customers experience Affirm and fuels our long-term growth. What you'll do - 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. - 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. - You will proactively identify project, process, technology or business issues, advocate for them, and lead in solving them. - 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. - 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. - You will help develop talent on your team by providing feedback and guidance, and leading by example. What we look for - You have 4+ years of experience designing, developing and launching backend systems at scale using languages like Python or Kotlin. - You have a track record of developing highly available distributed systems using technologies like AWS, MySQL and Kubernetes. - Strong understanding of distributed systems, data modeling, and service-oriented architecture. - 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. - 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. - Your experience demonstrates that you take ownership of your growth, proactively seeking feedback from your team, your manager, and your stakeholders. - You have strong verbal and written communication skills that support effective collaboration with our global engineering team. - This position requires either equivalent practical experience or a Bachelor’s degree in a related field. Location - Remote Canada Pay Grade - N Equity Grade - 6 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. Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents.) In addition, the employees may be eligible for equity rewards offered by Affirm Holdings, Inc. (parent company). CAN base pay range per year: $150,000 - $200,000 This posting is for an existing vacancy. #LI-Remote Affirm is proud to be a remote-first company! The majority of our roles are remote and you can work almost anywhere within the country of employment. Affirmers in proximal roles have the flexibility to work remotely, but will occasionally be required to work out of their assigned Affirm office. A limited number of roles remain office-based due to the nature of their job responsibilities. We’re extremely proud to offer competitive benefits that are anchored to our core value of people come first. Some key highlights of our benefits package include: - Health care coverage - Affirm covers all premiums for all levels of coverage for you and your dependents - Flexible Spending Wallets - generous stipends for spending on Technology, Food, various Lifestyle needs, and family forming expenses - Time off - competitive vacation and holiday schedules allowing you to take time off to rest and recharge - ESPP - An employee stock purchase plan enabling you to buy shares of Affirm at a discount We believe It’s On Us to provide an inclusive interview experience for all, including people with disabilities. We are happy to provide reasonable accommodations to candidates in need of individualized support during the hiring process. [For U.S. positions that could be performed in Los Angeles or San Francisco] Pursuant to the San Francisco Fair Chance Ordinance and Los Angeles Fair Chance Initiative for Hiring Ordinance, Affirm will consider for employment qualified applicants with arrest and conviction records. By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and hereby freely and unambiguously give informed consent to the collection, processing, use, and storage of your personal information as described therein.

• Develop and evolve backend applications in Python (Django), ensuring quality, performance, and maintainability; • Work on the development of critical business systems with high data volumes and direct operational impact; • Build and maintain RESTful APIs, service integrations, and communication with other company systems; • Work with data modeling and manipulation in PostgreSQL, ensuring efficiency and consistency; • Develop solutions integrated with data pipelines and distributed processing environments; • Work on messaging-based integrations, contributing to asynchronous and event-driven architectures; • Participate in the full development cycle, from analysis to production monitoring; • Investigate and resolve production issues, conducting structured root cause analysis; • Collaborate with Engineering, Product, and Business teams to build solutions aligned with company goals; • Support the implementation and improvement of observability practices (logs, metrics, and tracing).

• Colaborar com equipes multifuncionais para planejar, criar e fornecer recursos de alta qualidade; • Reestruturar e refatorar os sistemas existentes; • Ajudar a projetar a visão de longo prazo de nossa tecnologia e novas arquiteturas de componentes; • Usar as melhores práticas para melhorar a qualidade do nosso código e processos; • Contribuir com decisões técnicas dentro da equipe.