Software Engineer, Measurement & Ads

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 backend services and components that support measurement, attribution, and ads enablement across SoFi’s paid channels, working within established architectures and patterns.


• Own well-scoped, data-driven components or services, contributing to implementation, deployment, monitoring, and maintenance of systems related to event ingestion, attribution workflows, and data integrations.


• Build and enhance event ingestion pipelines, APIs, and data flows that integrate with external ad platforms, internal analytics systems, and experimentation frameworks, supporting reliable and timely measurement use cases.


• Contribute to system design and technical discussions, providing input on implementation details, data models, and tradeoffs while learning from more senior engineers.


• Ensure correctness, reliability, and observability of the systems you work on by writing tests, adding metrics and logging, and responding to issues as they arise.


• Collaborate closely with teammates and cross-functional partners to translate ads and measurement requirements into concrete technical tasks and deliverables.


• Participate in code reviews and design reviews, both as an author and a reviewer, applying team standards and continuously improving code quality.


• Support production operations, including participating in on-call rotations, incident response, and post-incident follow-ups with guidance from senior engineers.

What you’ll need

• Bachelor’s degree in Computer Science or equivalent practical experience.


• 2–4+ years of professional backend software engineering experience working on production systems.


• Experience building backend services and APIs using languages such as Kotlin/Java, Python, or similar , ideally within a service-oriented or microservice architecture.


• Familiarity with distributed system fundamentals, including asynchronous processing, event-driven workflows, and basic data pipeline concepts.


• Hands-on experience or exposure to event ingestion or queuing systems (e.g., Kafka, SQS, Pub/Sub).


• Working knowledge of relational databases (e.g., PostgreSQL/MySQL), including schema design, queries, and common access patterns.


• Experience developing and running services in a cloud environment (AWS preferred), including containerized workloads (Docker; Kubernetes exposure is a plus).


• Ability to deliver features independently within a defined scope, while proactively asking questions and incorporating feedback.


• A pragmatic engineering mindset with an eagerness to learn, balancing correctness, scalability, and delivery speed.


• Clear communication skills and comfort collaborating within a cross-functional, team-oriented environment.

Nice to have

• Exposure to marketing measurement or ad technology concepts, such as attribution, conversion tracking, or integrations with ad platforms (e.g., Meta, Google Ads).


• Familiarity with analytics, experimentation, or CDP ecosystems (e.g., Amplitude, Optimizely, mParticle, Snowflake ), even if primarily as a consumer.


• Experience integrating with third-party APIs, including handling rate limits, retries, and data validation.


• Interest in or experience working in fintech or regulated environments, with an appreciation for data quality and correctness.