Software Engineer, Streaming and Workflows

SoFi Technologies, Inc.
San Francisco, CA, United States
3 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
2 years minimum
Working hours
Regular working hours
Job source

Tech stack

Java (Programming Language) Artificial Intelligence Amazon Web Services Microsoft Azure Cloud Computing Code Generation Software Quality Code Review Software Debugging Distributed Systems File Transfer File Transfer Protocol (FTP) SSL Extension
+18 more
Python (Programming Language) Prometheus Software Engineering Systems Integration Datadog File Transfer Protocol (FTP) Backend Git Kotlin Event Driven Architecture Integration Tests Kubernetes Information Technology Apache Kafka Terraform Docker Golang Programming Languages

Job description

  • 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.
  • Join the operational on-call rotation: verify production changes carefully, diagnose common runtime failures using disciplined debugging practices, and apply staged, low-risk fixes.
  • Collaborate with internal application teams across Lending, Banking, Invest, and Credit Card to ensure smooth integration with platform tools.

Requirements

  • Education & Minimum Experience Requirements: Bachelor’s Degree + 2 Years of Experience building and maintaining backend services or distributed systems in production or Master’s Degree in Computer Science, Software Engineering, or a related technical field without industry experience.
  • Proficiency in at least one modern programming language: Java, Kotlin, Go, or Python.
  • Familiarity with cloud infrastructure (AWS preferred, Azure or GCP acceptable), containers (Docker), and Kubernetes.
  • Experience with modern software delivery workflows: git, CI/CD pipelines, Infrastructure as Code (Terraform), and telemetry/observability tooling (e.g., Datadog, Prometheus).
  • Demonstrated commitment to operational ownership, attention to detail, and a team-first mindset., * Prior experience working on an infrastructure, platform, or developer-enablement team supporting internal engineering users.
  • Familiarity with file transfer systems (AWS Transfer Family, SFTP, FTPS), secure protocol integrations, or enterprise job automation.
  • Exposure to distributed workflow engines (Temporal, Cadence) or event-streaming architectures (Apache Kafka, WarpStream).
  • Basic exposure to financial services, banking operations, or regulated data handling.

About the company

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.

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