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SoFi

Principal Software Engineer, AI Accelerated SDLC

Sorry, this job was removed at 05:17 p.m. (PST) on Monday, Jul 13, 2026
Easy Apply
Hybrid
San Francisco, CA, USA
198K-341K Annually
Easy Apply
Hybrid
San Francisco, CA, USA
198K-341K Annually

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Employee Applicant Privacy Notice

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

We are looking for an innovative and entrepreneurial Principal Software Engineer to join our Builder Tools engineering organization.  In this role, you will have the opportunity to directly influence, impact and lead the technical strategy and architecture of our next generation internal developer platform in an AI-first SDLC. Your work will elevate developer experience by enabling SoFi engineers with AI enabled development practices and tooling. You will have the opportunity to define and solve challenging problems in a fast-paced, highly collaborative and innovative organization. The ideal candidate will be a thought leader in the Developer Tooling domain, mentor, and team player who is hands-on in driving solutions from inception to implementation, and enabling organizational change and adoption with a strong drive for customer success. 

What You’ll Do:

  • Technical leadership - Provide thought leadership for the technical architecture, design, and delivery for AI enabled tools across the SDLC including plan, code, test, build, deploy, observe and remediate.
  • Strategic Partnership  - Serve as a key strategic technical advisor to leadership, influencing roadmap, participating in planning sessions, and ensuring alignment with business objectives.
  • Innovate - Collaborate with cross-functional teams to drive innovation and advancements in AI assisted developer productivity flows.
  • Operational Excellence - Be a subject matter expert, role model practitioner across the developer tooling domain including operational excellence. Drive observability strategy and practices, including SLOs, and guiding teams on critical incident resolution, root-cause analysis and remediation.
  • Mentor - Collaborate with engineers across the Platform organization, provide mentorship, and expertise to enhance the overall technical capabilities of teams.
  • Continuous Improvement - Contribute to creating a culture of continuous learning, data-driven decisions and improvements. Proactively identify and manage risks.
  • Collaborate – Build strong working relationships with coworkers, cross-organizational leaders, including engineering managers and product managers.
  • Influence - Be a change agent influencing and scaling the adoption of AI-enabled developer tooling and best practices across the engineering organization.

What You’ll Need:

  • Education - Bachelor's or Master's degree in Computer Science, Software Engineering, or a related technical field.
  • Experience - 10+ years of professional software development experience, including 2+ years in a technical leadership role. 
  • Domain  Expertise -  Expertise in AI tools (e.g., Claude Code, Windsurf, Cursor), infrastructure (e.g., MCP, AWS Bedrock, RAGs, vector dbs) and agent frameworks (e.g. Langchain, Langgraph, CrewAI)
  • Technical Expertise - Experience developing in a cloud environment (AWS), using containers (e.g., Docker, Kubernetes), cloud-native technologies and service meshes (e.g., Istio, Envoy). 
  • Innovation - Proven track record devising and launching creative solutions to developer experience challenges.
  • Design and Problem solving - Strong understanding of software design principles, and distributed systems architecture.
  • Coding Skills - Proven proficiency shipping enterprise applications in one or more programming languages (Go, Python, Java, Kotlin, etc.)
  • Communication and Collaboration - Exceptional verbal and written communication, with the ability to articulate complex technical concepts to diverse audiences at varying levels, including executives, cross-functional managers, and engineers.
  • Project Leadership - Ability to own, manage and deliver complex projects from scoping through launch. Experience leading Agile development practices.
  • Security and Compliance (Preferred) - Familiarity with security standards, compliance (SOC2, PCI, HIPAA) and risk management frameworks relevant to financial and regulated industries.
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.
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SoFi San Francisco, California, USA Office

Our new headquarters opened in 2019. The office provides an open work environment, an all-hands area, a café, library, coffee points on every floor, and executive conference rooms. The game room and roof-top lounge area provide space to take a break and look at the incredible downtown view.

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

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