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# Staff Software Engineer, Streaming and Workflows

- **Company:** SoFi Technologies, Inc.
- **Location:** San Francisco, CA, United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Software as a Service, Cloud Computing, Cloud Engineering, Code Generation, Data Integrity, Distributed Systems, Python (Programming Language), Pair Programming, Queueing Systems, RabbitMQ, Software Engineering, Cloud Platform System, Sofi, Kotlin, Kubernetes, Information Technology, Apache Kafka, Network Server, Dynatrace, Golang
- **Published:** November 12, 2026
- **Apply:** https://startup.jobs/staff-software-engineer-streaming-and-workflows-sofi-10742039

## About the Role

* 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.

## Description

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.