Senior Full Stack Engineer

SoFi

7d•Remote

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. As a Senior Full Stack Engineer, you will serve as a primary contributor in the development, deployment, and optimization of enterprise-grade, full-stack custom applications at scale. The ideal candidate brings 5+ years of robust engineering experience, a distinguished history of end-to-end delivery, and comprehensive mastery of software design—ranging from intricate user interfaces and business workflows to foundational back-end data architecture. You will collaborate with cross-functional teams to define technical strategy, advocate for engineering excellence, and deliver high-impact solutions directly to our member community.

Requirements

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.
5+ years of professional software engineering experience, with a focus on full-stack frameworks and engineering to develop custom product delivery specializing in AI
Solid devops and infrastructure-as-code experience using ArgoCD and GitLab for deployment, CI/CD, and environment management.
Advanced proficiency in React, Node.js, and front-end–to–back-end custom app development.
Extensive hands-on experience with database platforms - Snowflake strongly preferred, including advanced features, AI/ML integrations, and Snowflake Cortex.
Deep expertise in orchestrating real-time and scheduled pipelines with Airflow.
Track record of delivering high-quality, production-grade, scalable, and highly available cloud-based services.
Strong communicator; able to collaborate and drive decision-making with cross-functional stakeholders.
Willingness to take ownership, and champion learning and innovation within the organization.

Nice To Haves

Exposure to other cloud-native or AI workflow orchestration platforms.
Experience with AWS
Prior fintech or high-throughput consumer product experience.
Experience deploying and scaling LLM-powered chatbots or retrieval-augmented generation (RAG) platforms.

Responsibilities

Architect, design, and build end-to-end user-facing software applications using rich interactive user-interfaces with your expertise working with information extracted from databases and APIs (including leveraging native database functions such as Snowflake Cortex for advanced AI workloads).
Manage deployment pipelines and infrastructure as code using ArgoCD, GitLab CI/CD, and AWS best practices.
Collaborate with the AI engineers on the team to implement multi-agentic AI applications, enabling autonomous, stateful, and collaborative agent workflows for complex, real-world problem solving
Own technical decompositions of new product requirements; lead delivery from ideation to deployment and continual improvement.
Deploy, optimize, and monitor complex business process workflows on enterprise frameworks
Automate real-time and batch data flows using orchestration tools such as Apache Airflow.
Participate in code and design reviews, and make technical decisions for design and architecture of software solutions.
Collaborate with Product, Design, and Engineering to deliver high-impact solutions and foster a growth-mindset environment.
Stay current with the latest trends in software engineering, GenAI, LLM infrastructure, and the evolving tooling ecosystem; generate ideas to expand product capabilities and technical reach.