Senior Software Engineer, Backend (Marketing & Privacy Engineering)
Affirm INC · 🇨🇦 Remote Canada · Remote
Sponsorship verdict
No sponsorship evidence yet
No government record and no wording either way. Not a refusal — ask the recruiter.
- No government sponsor record hereNo government sponsor record covers this employer in this country.
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
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- Confirmed live todayWhen a source last listed this job as open.
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Sponsor Radar — Affirm INC
No government sponsor record covers this employer in this country.
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Affirm INC →
About the role
At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. Marketing & Privacy Engineering (MPE) builds trusted, privacy-aware consumer web experiences and measurement systems that enable sustainable growth. Within MPE, the Marketing pillar owns Affirm’s Logged-Out Web experiences, web experimentation, client-side tagging, marketing technology integrations, attribution, and measurement. As a Senior Software Engineer, you will build the data and measurement foundations that connect consumer acquisition activity across paid media, SEO/AEO, and other growth channels to downstream outcomes such as signup, conversion, and GMV. You will work at the intersection of data engineering and marketing technology, building reliable pipelines, identity and event data systems, attribution and conversion measurement, and integrations across our marketing and data ecosystems. You will partner closely with Engineering, Product, Marketing, Analytics, and Data Engineering so that consent, tagging, identity, and consumer-data requirements are incorporated into measurement architecture from the start. This role is a strong fit for an engineer who enjoys ambiguous cross-functional problems, cares deeply about data quality and operational reliability, and wants to build durable measurement capabilities that help teams understand the effectiveness of consumer growth investments. 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. • You have hands-on experience building marketing data and measurement systems using technologies such as Google Tag Manager (GTM/sGTM), GA4, advertising and conversion APIs, customer data platforms (CDPs), attribution or mobile measurement platforms, and consent management platforms. • You have experience building production data pipelines and analytical models using technologies such as Snowflake, dbt, and Airflow, including event-level data, identity resolution, attribution, or conversion measurement. • 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 a