About this Staff Software Engineer, Streaming and Workflows role at SoFi
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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 Staff Software Engineer (IC4) on the Streaming & Workflows (SAW) team, you will serve as the dedicated company-wide technical owner and architect for SoFi’s distributed Workflow Orchestration Platform (Temporal Cloud). Temporal is one of the most widely adopted platform services across SoFi, executing mission-critical, stateful financial workflows including loan origination, user verification, ledger transactions, and automated money movement.
You will define and drive the 12-month platform vision and technical roadmap, overhaul how SoFi integrates with and manages Temporal, manage our technical partnership with Temporal Cloud, build core self-service platform features, and offer mentorship to other less experienced team members. You will lead by example through hands-on architecture and responsible daily AI-assisted engineering, setting the gold standard for platform reliability, developer experience, and cost management company-wide.
What you’ll do:
- Own the technical vision, architectural roadmap, and operational strategy for SoFi's enterprise Temporal workflow orchestration platform.
- Re-architect and modernize SoFi’s multi-region resiliency leveraging Temporal Cloud: design self-service namespace provisioning, access control automation, Codec Servers, and standardized client SDKs/libraries.
- Serve as the primary technical interface and owner for the external Temporal Cloud vendor relationship, optimizing cluster efficiency, feature adoption, and infrastructure costs.
- Author clear architectural blueprints, developer guides, and SDK standards, educating and upskilling engineering teams across all SoFi business units.
- Mentor and elevate engineers on the SAW team (IC1–IC3), fostering technical growth through pair programming, architectural reviews, and constructive feedback.
- Act as a lead operational resolver during high-severity platform incidents, diagnosing distributed failure states and driving post-incident remediation to prevent recurrence.
- Partner with product and engineering leaders across Lending, Banking, Invest, and Risk to unblock complex distributed workflow use cases.
What you’ll need:
- Education & Minimum Experience Requirements: Bachelor’s Degree with 8+ Years of Experience designing, building, and operating high-throughput distributed systems or platform services in production or Master’s Degree with 6+ Years of Experience in Computer Science, Software Engineering, or a related technical field.
- Deep proficiency in at least one modern language: Go, Java, Kotlin, or Python.
- Proven track record of owning distributed platform architecture, defining technical roadmaps, and driving technical consensus across multiple engineering squads.
- Practical experience with cloud architecture (AWS preferred, Azure or GCP acceptable), containers, and Kubernetes in large-scale production environments.
- Experience managing platform telemetry (metrics, distributed tracing, alerting) and driving operational excellence for high-availability systems.
- Superb written and verbal communication skills, with proven ability to educate, influence, and mentor engineering peers.
AI-Assisted Engineering Expectations:
- Model and champion the daily use of AI-assisted engineering tools to accelerate architectural prototyping, generate resilient test suites, build client tooling, and automate developer documentation.
- Establish team standards for critically evaluating and validating AI-generated code to safeguard platform security, data integrity, and compliance.
Nice to have:
- Production experience with Temporal, Cadence, or similar stateful workflow orchestration systems.
- Prior experience on an internal developer platform (Platform-as-a-Product) or infrastructure team where internal developers were your direct customers.
- Familiarity with event streaming architectures (Apache Kafka, WarpStream, Kafka Connect) or distributed message queues (RabbitMQ).
- Experience managing SaaS/cloud vendor relationships and driving infrastructure cost-optimization initiatives.
- Background in financial services, banking platforms, or regulated environments.
