Staff Full Stack Engineer

Reposted 4 Hours Ago
Easy Apply
Hiring Remotely in United States
Remote or Hybrid
154K-264K Annually
Senior level
Fintech • Mobile • Software • Financial Services
SoFi’s mission is to help people reach financial independence to realize their ambitions.
The Role
As a Staff AI Software Engineer, you'll develop and optimize scalable AI applications, manage deployment pipelines, and collaborate with cross-functional teams to drive innovative solutions.
Summary Generated by Built In

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Who 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.

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 role:

As a Staff Full Stack Engineer, you will serve as a cornerstone of technical leadership, driving the ideation, architectural design, and optimization of enterprise-scale, full-stack ecosystems. We are seeking a visionary with 8+ years of engineering depth and a proven track record of delivering complex, end-to-end solutions. In this role, you will bridge the gap between high-level business strategy and technical execution, championing engineering excellence while serving as a pivotal mentor and subject matter expert to the broader engineering organization.

What you’ll do: 

Engineering & AI Architecture

  • Architectural Leadership: Architect and deploy sophisticated, end-to-end applications, leveraging deep expertise in interactive interfaces and complex data integration—including the orchestration of AI-native database functions like Snowflake Cortex.
  • Agentic AI Integration: Partner with AI specialists to architect multi-agentic systems, implementing autonomous, stateful workflows designed to solve high-consequence, real-world business challenges.
  • Data Orchestration: Design and automate high-performance real-time and batch data pipelines using enterprise orchestration tools such as Apache Airflow, ensuring seamless data liquidity across the stack.

DevOps & Operational Excellence

  • Infrastructure as Code (IaC): Standardize deployment lifecycles and cloud infrastructure by implementing GitOps methodologies via ArgoCD, GitLab CI/CD, and AWS best practices.
  • Workflow Optimization: Deploy and tune complex business process engines within enterprise frameworks, ensuring maximum reliability, scalability, and observability.

Product Ownership & Strategy

  • Technical Decomposition: Lead the translation of ambiguous product requirements into rigorous technical specifications, overseeing the entire execution lifecycle from initial ideation to post-deployment optimization.
  • Strategic Collaboration: Act as a technical bridge between Product, Design, and Engineering to deliver member-centric solutions while fostering a culture of continuous learning and growth.

Governance & Innovation

  • Technical Stewardship: Drive engineering rigor through comprehensive code and design reviews, serving as a final decision-maker for critical architectural choices and software standards.
  • Innovation Advocacy: Maintain a cutting-edge pulse on GenAI, LLM infrastructure, and emerging tooling; proactively translating industry trends into actionable product roadmaps and enhanced technical capabilities.

What you’ll need:

Education & Experience

  • Academic Foundation: Bachelor’s or Master’s degree in Computer Science, Engineering, or a strictly related technical discipline.
  • Professional Tenure: 8+ years of robust software engineering experience, with a specialized focus on architecting full-stack AI-driven product ecosystems.
  • Proven Reliability: A distinguished track record of delivering production-grade, highly available cloud services that operate reliably at enterprise scale.

Technical Mastery

  • Full-Stack Command: Advanced proficiency in the React and Node.js ecosystems, with a mastery of seamless front-to-back-end integration for bespoke enterprise applications.
  • Data & AI Infrastructure: Extensive hands-on experience with modern database platforms—Snowflake preferred—including the utilization of Snowflake Cortex and advanced AI/ML integration patterns.
  • Pipeline Orchestration: Deep expertise in designing and managing complex real-time and scheduled data pipelines using Apache Airflow.
  • DevOps & GitOps: Comprehensive experience in Infrastructure as Code (IaC) and environment management, utilizing ArgoCD and GitLab CI/CD to drive automated, resilient deployment strategies.

Leadership & Influence

  • Strategic Mentorship: Committed to the growth of the engineering organization through active mentorship, fostering a high-performance culture, and elevating the technical caliber of the team.
  • Operational Excellence: A relentless advocate for engineering rigor, consistently challenging the status quo to drive continuous improvement in code quality and architectural standards.
  • Cross-Functional Diplomacy: Exceptional communication skills with the ability to bridge technical and non-technical domains, driving consensus and decision-making among diverse stakeholders.
  • Organizational Catalyst: A proactive leader who takes end-to-end ownership, champions a culture of innovation, and builds influential partnerships across the broader engineering community.

Nice to have:

  • Advanced AI & LLM Implementation: Direct experience deploying and scaling production-level Generative AI solutions, specifically LLM-powered agents or Retrieval-Augmented Generation (RAG) architectures.
  • Sector Expertise: Previous background in Fintech or high-throughput consumer-facing environments, with an understanding of the unique security and regulatory nuances involved.
  • Cloud Proficiency: Advanced experience with AWS ecosystem services and a broad familiarity with modern cloud-native orchestration platforms.
  • Architectural Rigor: A sophisticated understanding of latency, throughput, and scalability trade-offs, with the ability to optimize complex distributed systems for performance.
  • Computer Science Depth: Strong conceptual mastery of diverse programming paradigms, including Object-Oriented (OOP) and Functional Programming, to ensure clean, maintainable, and modular codebases.
  • Evolving AI Ecosystems: Experience navigating and integrating emerging AI workflow orchestration tools and third-party AI research platforms.
Compensation and Benefits
The base pay range for this role is listed below. Final base pay offer will be determined based on individual factors such as the candidate’s experience, skills, and location. 
 
To view all of our comprehensive and competitive benefits, visit our Benefits at SoFi page!
SoFi provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion (including religious dress and grooming practices), sex (including pregnancy, childbirth and related medical conditions, breastfeeding, and conditions related to breastfeeding), gender, gender identity, gender expression, national origin, ancestry, age (40 or over), physical or medical disability, medical condition, marital status, registered domestic partner status, sexual orientation, genetic information, military and/or veteran status, or any other basis prohibited by applicable state or federal law.The Company hires the best qualified candidate for the job, without regard to protected characteristics.Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.New York applicants: Notice of Employee RightsSoFi is committed to an inclusive culture. As part of this commitment, SoFi offers reasonable accommodations to candidates with physical or mental disabilities. If you need accommodations to participate in the job application or interview process, please let your recruiter know or email [email protected].Due to insurance coverage issues, we are unable to accommodate remote work from Hawaii or Alaska at this time.
Internal Employees
If you are a current employee, do not apply here - please navigate to our Internal Job Board in Greenhouse to apply to our open roles.

Skills Required

  • 8+ years of professional software engineering experience specializing in AI
  • Bachelor's or Master's degree in Computer Science or related field
  • Solid devops and infrastructure-as-code experience using ArgoCD and GitLab
  • Advanced proficiency in React, Node.js
  • Extensive experience with database platforms, strong preference for Snowflake
  • Deep expertise in orchestrating pipelines with Airflow
  • Track record of delivering scalable cloud-based services

What the Team is Saying

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SoFi Compensation & Benefits Highlights

  • Parental & Family Support Up to 12 weeks fully paid parental leave, paid caregiver leave, fertility/adoption resources, and subsidized backup childcare/eldercare are offered. Pet insurance and family-building support further broaden the coverage.
  • Healthcare Strength Medical, dental, and vision coverage is paired with company-paid short- and long-term disability and life insurance. Mental-health support via Modern Health and employer HSA contributions enhance overall health support.
  • Leave & Time Off Breadth Flexible vacation for exempt employees, generous PTO for non-exempt, paid holidays, and early-release “SoFi Fridays” expand time-off options. An additional 16 hours of paid volunteer time underscores community engagement.

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The Company
HQ: San Francisco, CA
4,500 Employees
Year Founded: 2011

What We Do

SoFi wasn’t built to be a bank. Or a technology company. We were built for one mission: help people achieve financial independence so they can realize their ambitions. Redefining an entire industry isn’t easy work—and it’s not for the faint of heart. It takes a certain kind of team. People with diverse perspectives and expertise, united by a common sense of purpose. People willing to challenge assumptions but always do the right thing. People proving that innovation and responsibility don’t have to compete, but can come together to create something truly unconventional in the world. For the last eight years, we’ve been charting this new path forward. We call it The SoFi Way. At SoFi, we don’t just talk about culture: we live it. The SoFi Way is how we show up every day, how we make decisions, and how we build for our members, clients, and each other.

Why Work With Us

Together with our members, we’re changing the way people think about and interact with personal finance. We’re a next-generation Fintech company using innovative, mobile-first technology to help our members reach their goals. The industry is going through an unprecedented transformation, and we’re at the forefront.

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SoFi Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

For the majority of our workforce who work on a hybrid schedule, the in-office requirement is a handful of days per month!

Typical time on-site: Flexible
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HQSan Francisco, CA
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Cottonwood Heights, UT
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Frisco, TX
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Helena, MT
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New York, NY
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Seattle, WA
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