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Who we are: Shape a brighter financial future with us. Together with our members, we're changing the way people think about and interact with personal finance. We're a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we're at the forefront. We're proud to come to work every day knowing that what we do has a direct impact on people's lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world.

We are seeking a Senior Backend Software Engineer to join our Measurement & Ads team. This team is responsible for building and operating the core Back End systems that support measurement, attribution, experimentation, and integrations across all of SoFi's marketing channels.

In this role, you will tackle complex, data-intensive problems at scale, design reliable event pipelines, attribution systems, and APIs that connect ad platforms, internal analytics, and downstream consumers. You'll operate with a high degree of autonomy, owning meaningful Back End components from design through production, while collaborating closely with Product, Marketing, Data, and other Engineering teams.

The ideal candidate is a strong systems thinker, pragmatic builder, and collaborative partner who cares deeply about correctness, reliability, and operational excellence.

• Design, build, and operate scalable Back End services that power measurement, attribution, and ads enablement across SoFi's paid channels.
• Own complex, data-driven systems end-to-end, from architecture and implementation through deployment, monitoring, and long-term maintenance, particularly over high-volume event ingestion, identity mapping, and attribution data flows.
• Build and evolve event ingestion pipelines, APIs, and data flows that integrate with external ad platforms, internal analytics, and experimentation frameworks, enabling near-real-time measurement and data activation use cases.
• Contribute to the technical architecture and roadmap, help identify big-rock problems and propose durable, scalable solutions.
• Ensure systems are highly available, observable, and correct, with strong guarantees around data quality and consistency, pipeline health, and attribution accuracy.
• Collaborate effectively to translate ads and measurement requirements into robust technical solutions.
• Lead code and design reviews, set a high bar for Back End quality and reliability, lead incident investigations, and drive improvements that reduce operational risk over time.
• Mentor other engineers through technical guidance, thoughtful reviews, and shared ownership of outcomes.

• Bachelor's degree in Computer Science or equivalent practical experience.
• 5+ years of professional Back End software engineering experience on a modern stack, delivering production-grade systems at scale.
• Strong experience designing and building distributed systems, including APIs, async workflows, and data pipelines.
• Hands-on experience with event ingestion, processing and queuing systems (eg, Kafka, SQS).
• Proficiency with Back End languages such as Kotlin/Java, Python, or similar, and experience working within service-oriented or microservice architectures.
• Solid understanding of relational databases (eg, PostgreSQL/MySQL), data modeling, and access patterns.
• Experience building and operating systems in cloud environments (AWS preferred), including containerized workloads (Docker, Kubernetes).
• Strong sense of ownership and independence in driving projects from ideation to production impact.
• A pragmatic engineering mindset with balance over correctness, scalability, and speed to deliver meaningful business outcomes.
• Clear, effective communication skills and the ability to collaborate across multiple disciplines.
• Strong focus on observability and operational excellence (metrics, alerting, SLO/SLA, runbooks).

• Experience with marketing measurement, ad technology and platforms (ie MMP, MTA, Meta CAPI, Google Ads)
• Familiarity with customer data platform, experimentation, or data warehouse ecosystems (ie Amplitude, Optimizely, mParticle)
• Experience building or integrating with third-party APIs at scale.
• Experience working in financial services, fintech, or regulated environments.

The base pay range for this role is listed below. Final base pay offer will be determined based on individual factors such as the candidate's experience, skills, and location. To view all of our comprehensive and competitive benefits, visit our Benefits at SoFi page!

SoFi provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, gender, gender identity, gender expression, national origin, ancestry, age, physical or medical disability, medical condition, marital status, or any other basis prohibited by applicable state or federal law. The Company hires the best qualified candidate for the job, without regard to protected characteristics. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. New York applicants: Notice of Employee Rights. SoFi is committed to an inclusive culture. As part of this commitment, SoFi offers reasonable accommodations to candidates with physical or mental disabilities. If you need accommodations to participate in the job application or interview process, please let your recruiter know or email (see below) Due to insurance coverage issues, we are unable to accommodate remote work from Hawaii or Alaska at this time.

Internal Employees If you are a current employee, do not apply here - please navigate to our Internal Job Board in Greenhouse to apply to our open roles.