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Mid LevelFull-timePythonJavaAWSKubernetesDockerPostgreSQLMySQL
Salary Range
$102,000 - $138,000 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are seeking a Backend Software Engineer to join our Measurement & Ads team at SoFi, a next-generation financial services company and national bank. This role involves building and operating core backend systems that support measurement, attribution, experimentation, and integrations across all of SoFi’s marketing channels.
Key Responsibilities
- →Design, build, and operate backend services and components that support measurement, attribution, and ads enablement across SoFi’s paid channels.
- →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.
- →Contribute to system design and technical discussions, providing input on implementation details, data models, and tradeoffs.
- →Ensure correctness, reliability, and observability of the systems by writing tests, adding metrics and logging, and responding to issues.
- →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, applying team standards and continuously improving code quality.
- →Support production operations, including participating in on-call rotations, incident response, and post-incident follow-ups.
Requirements
- ✓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.
