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SoFi is seeking an experienced Senior Staff Software Engineer to lead the vision and architecture of their next-generation AI-powered Software Development Lifecycle (SDLC) platform. You will join the Builder Tools engineering organization, which is dedicated to enabling SoFi engineers to solve problems elegantly through AI-enabled workflows, tooling, and practices.
In this role, you will provide technical leadership across the entire SDLC—from planning and coding through testing, building, deploying, observing, and remediating. You'll collaborate with cross-functional teams to drive innovation in developer tooling and AI-assisted productivity flows. As a subject matter expert in one or more developer tooling domains, you'll mentor engineers, enhance team technical capabilities, and champion the adoption of AI-powered SDLC practices across the engineering organization.
Key responsibilities include architecting and designing AI-enabled tools and agents, implementing solutions from design through adoption, identifying and managing technical risks, and fostering a culture of continuous learning and data-driven improvements. You'll be hands-on, driving complex problems from conception to delivery with strong ownership and accountability.
Required qualifications: Bachelor's or Master's degree in Computer Science or related field; 8+ years of software development experience; proficiency in cloud environments (AWS), containers (Docker, Kubernetes), CI/CD, and automated testing; 2+ years working with AI tools (Claude Code, Agent SDKs, Cursor), AI infrastructure (MCP, AWS Bedrock, RAGs, vector databases), and agent frameworks (Langchain, Langgraph, CrewAI); strong software design and distributed systems knowledge; proven coding skills in Java, Kotlin, or Python; and excellent communication and cross-functional collaboration abilities.
Preferred: experience with security, compliance, and risk management in cloud environments; monitoring and logging tools (Datadog, Elastic, Splunk); and container orchestration and networking.
