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Employee Applicant Privacy Notice
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.
The Role
We are seeking a Senior Backend Software Engineer to join our Measurement & Ads team. This team is responsible for building and operating the core backend 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 backend 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.
What you’ll do
- Design, build, and operate scalable backend 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 backend 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.
What you’ll need
- Bachelor’s degree in Computer Science or equivalent practical experience.
- 5+ years of professional backend 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 (e.g., Kafka, SQS).
- Proficiency with backend languages such as Kotlin/Java, Python, or similar, and experience working within service-oriented or microservice architectures.
- Solid understanding of relational databases (e.g., 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).
Nice to have
- Experience with marketing measurement, ad technology and platforms (i.e. MMP, MTA, Meta CAPI, Google Ads)
- Familiarity with customer data platform, experimentation, or data warehouse ecosystems (i.e. Amplitude, Optimizely, mParticle)
- Experience building or integrating with third-party APIs at scale.
- Experience working in financial services, fintech, or regulated environments.
Compensation and Benefits
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 (including religious dress and grooming practices), sex (including pregnancy, childbirth and related medical conditions, breastfeeding, and conditions related to breastfeeding), gender, gender identity, gender expression, national origin, ancestry, age (40 or over), physical or medical disability, medical condition, marital status, registered domestic partner status, sexual orientation, genetic information, military and/or veteran 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 RightsSoFi 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 [email protected].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.
SoFi New York, New York, USA Office
Our New York office, located in the meat-packing district, provides an open work environment and is a hub for our finance teams. Our large conference, flexible work spaces, huddle rooms, and shared community areas allows our teams to openly collaborate while looking at some spectacular views.
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
