Staff Software Engineer, Digital Identity - Identity Core

SoFi•Seattle, WA

19h

About The Position

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 Team The Digital Identity Platform collects, protects, and distributes the critical data that enables SoFi to recognize and support its members as they move through every product and feature. Digital Identity is the virtual representation of a person’s physical identity — the digital attributes essential for customer identification, relationship & entitlement and authorization (granting access to resources). If you are passionate about working on the platform that every SoFi product depends on to know its customers, this is the team. Our team’s tech stack is Java/Kotlin, PostgreSQL, Kubernetes, ArgoCD, Datadog, Snowflake. For AI based development we use Claude Code, Cursor, Windsurf etc. The Role You focus on software features and systems, anchored on a team but interacting across teams to deliver outcomes. Problems you tackle are broadly defined — you identify the specific solutions. You think 6–12 months ahead about system evolution and set standards for your team’s engineering practices. In SoFi’s AI-native environment, you produce structured critiques of AI-generated architecture, identify distributed systems failure modes that AI consistently misses, and define how your team uses AI tools effectively. When needed, you lead cross-functionally to deliver business outcomes.

Requirements

Bachelor’s degree in Computer Science, Software Engineering, or equivalent practical experience
6-10 years of professional software development experience
Advanced expertise in writing code, consistently demonstrating best practices with clear and exemplary usage of their team’s software languages
Advanced expertise in how team components contribute to broader system architecture; recognizes and makes trade-offs in component interactions
Demonstrated ability to identify and critique architectural flaws in AI-generated code — race conditions, data consistency issues, incorrect failure handling
Experience with 6–12 month strategic thinking; setting team priorities and driving operational excellence improvements
Domain knowledge in their product area, informing decision making and design
Proven ability to lead cross-functionally and represent the team in technical discussions
Strong focus on operational excellence with a track record of identifying systemic improvement patterns

Nice To Haves

Prior experience with front-end development using Typescript and frameworks like ReactJs/AngularJs, NodeJs will be nice to have.

Responsibilities

Design software that addresses both current and future business needs; promote efficient development, clarity, reusability, testability, and reliability
Set coding standards and best practices for the team, including standards for AI-assisted development — when to use AI, how to verify, what to own
Produce structured critiques of AI-generated distributed system designs, identifying race conditions, incorrect consistency models, silent data loss, and improper failure handling
Participate in group-level strategic planning and resource prioritization, representing the team’s perspective; align team projects with group direction
Lead team design reviews; teammates recognize that your input improves results and seek your feedback
Simplify the team’s systems, avoiding unnecessary complexity; enable easy integrations across teams; optimize for long-term impact
Frame and navigate trade-offs in technology choices with a pragmatic, value-focused perspective on when to adopt vs. invent
Drive operational excellence: automate and streamline build, deployment, testing, and maintenance; identify patterns in bugs and incidents to propose systemic improvements
Mentor teammates proactively to grow their skillsets and impact, providing meaningful feedback from a well-calibrated perspective

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