Senior Software engineer (Furnishing Platform)

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. We are looking for a highly motivated Software Engineer in our Furnishing Platform team to build scalable systems and data pipelines to power our consumer credit reporting. You will partner closely with our Product, Compliance, Servicing, and Credit teams to design robust reporting systems. The systems you will work on are vital for delivering accurate and timely data from Affirm’s financial product portfolio to Consumer Reporting Agencies. Affirm is growing fast and we want you to enable us to scale our products to 10x and beyond through building world-class systems which enable Affirm in its mission to provide honest financial products which improve lives. We are only just getting started! Come join us as we build a beloved, lasting financial services brand predicated on honesty and trust. It’s going to be an amazing ride! What You’ll Do - Own and deliver strategic outcomes: Drive the definition and delivery of quarterly and long-term goals, ensuring your team’s work ladders up to company-wide objectives. Lead engineers through ambiguity and open-ended problems, providing clarity and direction. - Shape architecture and technical strategy: Influence the design of large-scale data and backend systems across multiple teams. Ensure that solutions are scalable, extensible, and aligned with broader engineering standards. - Collaborate cross-functionally: Partner with product, analytics, and design to define data-driven solutions. Anticipate risks, articulate trade-offs, and ensure technical decisions support long-term product and business needs. - Champion operational excellence: Ensure high availability and reliability of data pipelines and services by establishing strong monitoring, alerting, and recovery practices. Drive improvements that reduce system fragility and operational burden. - Mentor and grow talent: Guide engineers within and beyond your team through mentorship, code/design reviews, and technical leadership. Set high standards for engineering practices and foster a culture of ownership and continuous learning. - Scale impact beyond your team: Author technical proposals, share best practices via documentation and tech talks, and advocate for improvements that raise the bar for the broader data engineering community. What We Look For - Deep technical expertise: 4+ years of experience designing and building large-scale data pipelines and distributed backend systems, with strong proficiency in languages like Python, Kotlin, or similar. - Systems at scale: Proven track record of delivering high-volume, highly available systems using technologies like AWS, MySQL, Airflow, Spark, and Kubernetes. - Architectural leadership: Experience defining technical strategies for complex, cross-team initiatives. Ability to design elegant, extensible systems that balance short-term needs with long-term scalability. - Operational rigor: Skilled at building resilient systems with monitoring, alerting, and safe deployment practices. Comfortable driving significant changes in large, complex codebases. - Leadership and influence: History of mentoring engineers, unblocking teams, and shaping best practices beyond your immediate group. Ability to navigate ambiguity and drive clarity across stakeholders. - Strong communication: Excellent verbal and written skills that enable you to influence technical and product decisions across a global engineering org. Compensation & Benefits Base Pay Grade - N Equity Grade - Poland 4 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). POL base pay range per year: 308,000 - 428,000 zł Additional benefits include: - Type of employment: Contract of Employment - Flexible Spending Wallets for tech, food and lifestyle - Away Days - wellness days to take off work and recharge - Learning & Development programs - Parental benefits - Employee Resource & Community Groups - This role is eligible for creative tax benefits, subject to applicable law and company policy Location - Remote Poland The majority of our roles can be located anywhere in Poland. **This job description is not a contractual document, and is not intended to have binding force.** #LI-Remote Affirm is proud to be a remote-first company! The m

4+ years of experience designing and building large-scale data pipelines and distributed backend systems, with strong proficiency in languages like Python, Kotlin, or similar. Systems at scale: proven track record of delivering high-volume, highly available systems using technologies like AWS, MySQL, Airflow, Spark, and Kubernetes. Architectural leadership: experience defining technical strategies for complex, cross-team initiatives. Operational rigor: skilled at building resilient systems with monitoring, alerting, and safe deployment practices. Leadership and influence: history of mentoring engineers, unblocking teams, and shaping best practices beyond your immediate group. Strong communication: excellent verbal and written skills that enable you to influence technical and product decisions across a global engineering org.

Own and deliver strategic outcomes: define and deliver quarterly and long-term goals; lead engineers through ambiguity and provide clarity. Shape architecture and technical strategy: influence design of large-scale data and backend systems; ensure solutions are scalable and aligned with engineering standards. Collaborate cross-functionally: partner with product, analytics, and design to define data-driven solutions; articulate trade-offs. Champion operational excellence: ensure high availability and reliability of data pipelines and services; establish monitoring, alerting, and recovery practices. Mentor and grow talent: guide engineers through mentorship, code/design reviews, and leadership. Scale impact beyond your team: author technical proposals, share best practices, and raise the bar for the broader data engineering community.