Jobs at SoFi

• Design, implement, test, deploy, and operate foundational components of Prism and contribute to the underlying components.
• Build and maintain telemetry, usage instrumentation, and reporting pipelines to provide clear visibility into Prism and the learning feedback loop.

• Build and scale Prism: Lead the engineering team responsible for developing SoFi's internal AI productivity platform.
• Manage and develop talent: Manage incoming IC3 engineers, providing coaching, performance management, and career development. Collaborate with talent acquisition to help hire and onboard advanced engineers (IC4/IC5) to the team.

• Own platform systems end-to-end: design, build, and operate foundational components of the AI Gateway, model routing, eval platform, and harness vending, transforming broadly defined challenges into production-grade systems.
• Instrument AI economics: develop usage telemetry, cost allocation, and chargeback mechanisms th...

• Network strategy and architecture: Own the long-term technical vision for networking across SoFi, defining a north-star architecture and an incremental, multi-year roadmap. Lead the architecture of member-facing networking. Design multi-region and multi-cluster networking. Enable incremental rollout and progressive delivery. Set direction for service-to-service and multi-account connectivity. Drive network automation end to end.

• Set Technical Direction: Define and drive the architecture for the enterprise AI Gateway, model routing, automated evaluation platform, and harness vending, ensuring seamless support for interactive and autonomous workflows across multiple business units.
• Shape Strategy & Roadmaps: Proactively identify systemic developer productivity bottleneck...

• Lead team building, organizational design, talent acquisition, performance management, and career development across multiple engineering squads.
• Guide architectural strategy and lead the delivery of highly scalable, fault-tolerant platform services in a cloud-native production environment.

Employee Applicant Privacy NoticeWho 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.

Employee Applicant Privacy NoticeWho 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.

Employee Applicant Privacy NoticeWho 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.

Employee Applicant Privacy NoticeWho 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.

• Plan, organize, and manage complex executive calendars, proactively resolving overlapping commitments and protecting time for key strategic priorities.
• Coordinate end-to-end travel arrangements and itineraries.

• Design, build, and maintain scalable data pipelines that consolidate fraud operational data from multiple source systems into governed Snowflake data marts
• Partner with Fraud Data Engineering and the TDM platform team on the foundational Fraud CoE data buildout, including summarized metric tables that standardize reporting across all fraud product lines

• Data Trust architecture and strategy: Define and execute the technical direction for data contracts, metadata and catalog modernization, lineage, data quality, privacy, and access controls. Translate business, regulatory, and engineering requirements into a coherent platform strategy and sequence investments for long-term impact.

• Lead and mentor a high-performing engineering team responsible for Workday HCM, Financial Management, Payroll, and the broader Workday technical ecosystem, balancing hands-on technical leadership with people management
• Define and execute the Workday technical roadmap, architecture standards, engineering principle...

• Lead end-to-end delivery and architecture for enterprise security capabilities: enterprise zero-trust networks, endpoint security, and SaaS posture management.
• Frame complex security challenges: clarify security requirements, threat models, failure modes, and success metrics while proposing clear architectural options and tradeoffs.

• Support the Disputes Central and Fraud Central platforms, including production issue resolution, root cause analysis, ticket management, escalation, remediation, and agent coaching.
• Lead UAT and testing for new client onboarding, configuration changes, product enhancements, mandates, patches, and platform releases.

• Own hiring, onboarding, and career development for the Data Platform and Data Analytics teams; build out the team as the org scales.
• Set technical direction and engineering standards for data pipelines, warehousing, and analytics tooling.

• Own hiring, onboarding, and career development for the Data Platform and Data Analytics teams; build out the team as the org scales.
• Set technical direction and engineering standards for data pipelines, warehousing, and analytics tooling.

• Perform vulnerability assessments across applications, operating systems, containers, Kubernetes clusters, and third-party dependencies.
• Investigate vulnerable dependencies, determine where they originate, and identify whether they are direct or transitive.

• Define our enterprise learning strategy and build a lean, agile team to deliver it.
• Set clear priorities for where L&D can have the greatest impact.