Sofi Senior Software Engineer on SoFi’s Prism team responsible for building and operating the internal AI platform for knowledge work. Role includes designing microservices, telemetry pipelines, and leading feature execution with operational rigor.
Responsibilities
As a Senior Software Engineer (IC3) on SoFi’s Prism team, you’ll help build Prism, SoFi’s internal AI platform for knowledge work. Prism connects employees with the AI models, business context, and tools they need to solve important problems more effectively. It also creates a continuous learning loop by capturing what works—and what doesn’t—so our workflows improve over time and employees can deliver better results faster.
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.
Lead technical feature execution for assigned platform work streams, breaking down complex tasks to parallelize implementation with teammates and aligning dependencies with product and engineering managers.
Participate actively in technical design reviews, reasoning through architectural trade-offs (such as latency, fault tolerance, concurrency, and security) and documenting clear technical specifications.
Contribute to team engineering quality by following and refining coding conventions, automated testing patterns, and reusable service templates.
Drive operational excellence by automating test and deployment workflows, participating in on-call service ownership, acting as an incident resolver, and implementing post-incident remediations to prevent recurrence.
Engage directly with internal customers to understand their day-to-day workflows, support adoption of Prism, and incorporate feedback into iterative system improvements.
Mentor early-career engineers through thoughtful code reviews, constructive design feedback, and pair programming to foster continuous team growth.
Qualification
AI-Assisted Engineering ExpectationsDeep understanding of LLM integration
Required
Education & Minimum Experience Requirements: Bachelor’s Degree + 2–3 Years of Experience OR Master’s Degree + 2 Years of programming experience in software engineering, computer science, or a related field.
Proven programming proficiency in at least one modern backend language (such as Java, Kotlin, Python, Go, or Scala).
Solid experience building and operating distributed backend services in a microservices or cloud environment, with an understanding of concurrency, fault tolerance, idempotence, and API design.
Practical experience working with relational databases, persistent data stores, and data modeling concepts.
Practical understanding of operational excellence: logging, metrics, distributed tracing, automated unit/integration testing, and safe production deployment practices (canarying, feature flags).
Hands-on experience developing with or integrating AI-assisted developer tools, LLM APIs, prompt engineering patterns, or tool-execution frameworks.
Collaborative approach with clear written and verbal communication skills, including the ability to write structured technical design documents and share constructive code review feedback.
AI-Assisted Engineering Expectations:
Use AI tools responsibly to prototype solutions, navigate codebases, and accelerate implementation velocity while upholding high security and safety standards.
Critically inspect and validate AI-generated code, backing all implementations with comprehensive automated tests to ensure long-term maintainability.
Maintain rigorous compliance with data governance and security policies, ensuring sensitive member data and proprietary assets are never exposed to unapproved tools.
Elevate team productivity by sharing effective harnesses, prompt templates, and operational guardrails.
