About the role
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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.
The role
As a Software Engineer (IC2) on the Streaming & Workflows (SAW) team at SoFi, you will be embedded in one of the most critical platform initiatives across the company: the ground-up, greenfield rebuild of our enterprise File Automation Platform. This mission-critical platform coordinates all external file transfers moving millions to billions of dollars between SoFi and major financial institutions, including clearing banks and regulatory reporting to the Federal Reserve.
In this role, you will partner closely with other engineers based in Seattle to build a modern, multi-region, resilient distributed file orchestration engine. You will pair solid backend engineering execution with systems thinking, contributing to feature development, automated testing, and operational health while leveraging AI-assisted development tools responsibly to accelerate delivery.
What you’ll do
- Build and ship core features for the net-new multi-region File Automation Platform, replacing legacy file transfer infrastructure with scalable, secure microservices.
- Own a defined component or service slice end-to-end (e.g., protocol adapters, AWS Transfer Family/SFTP integrations, file validation, ingestion pipelines, and audit logging).
- Write modular, tested, and maintainable backend code in Java, Kotlin, Go, or Python using established distributed patterns.
- Partner closely with senior teammates in Seattle during design discussions to clarify requirements, define API boundaries, and implement edge-case handling.
- Build with evidence: implement automated unit, integration, and contract tests, along with metrics, structured logging, and Datadog dashboards to ensure high operational observability.
- Participate in code reviews, giving and receiving constructive peer feedback to raise software quality.