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The Staff Software Engineer will lead technical architecture and design for AI optimization solutions, mentor team members, and work closely with data scientists. Responsibilities include developing production-level services, managing software lifecycles, and driving project initiatives.
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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
We are building a new optimization and AI engineering team with the mission of bringing the value of AI to SoFi Members. This work will play a key role in increasing the revenue of our Loans Platform business by developing new solutions to improve the efficiency of our loan sales. The ideal candidate will have a deep understanding of mathematical optimization and ML, a curiosity for AI, and a demonstrated ability of building and owning high performing production systems. At SoFi, we pride ourselves on the collaboration between Data Science, Product, Design, and Engineering and so you will be involved in the entire product lifecycle, from ideation through building, deploying and continual improvement and evolution. We also pride ourselves on a philosophy of continuous learning, and you should likewise be committed to furthering your own career growth as well as to providing mentorship for your fellow team members.
Key responsibilities
- Drive technical architecture, design decisions and cross-functional discussions for the product
- Deliver highly available and scalable services in a production environment
- Partner closely with data scientists to understand, implement, and productionalize mathematical optimization, ML, and AI models
- Lead the design, development and testing of systems
- Lead code and system design reviewsHelp translate product requirements into user stories and technical solutions
- Mentor other engineers, support the technical culture, and help grow the team
- Generate ideas for new initiatives and technologiesCommunicate with project leads, product managers and other software developers
- Consistently demonstrate extremely high levels of technical knowledge, ingenuity, and creativity.
- Develop and apply advanced technologies, engineering principles, theories, and conceptsBroad knowledge about the design and operation of systems outside of specialty
- Take initiative and produce timely results in a fast-paced and sometimes ambiguous environment
Requirements
- Bachelor’s Degree in Computer Science, Industrial Engineering, or related field
- 8+ years programming experience on a modern stack
- Our core stack is Java/ Kotlin/ Spring / AWS/ PostgreSQL, and we run on Kubernetes in a service oriented architecture. Python is required for our new optimization and AI stack
- Proven experience building, deploying, and maintaining production-level Python microservices through their entire lifecycle
- Hands-on experience with optimization solvers and libraries (e.g., Gurobi, CPLEX, Google OR-Tools, PuLP, Pyomo). Familiarity with Mixed-Integer Programming (MIP) is a plus
- Experience working with applications that leverage ML and Large Language Models (LLMs), such as integrating LLMs, designing prompts, or exploring their practical applications.
- You should have a strong understanding of relational databases and ORMs
- You should have worked on a SOA or microservice-based application
- Strong sense of ownership; driving a project from inception to completion
- Pragmatic approach towards handling tech debt versus shipping new features
- Experience working in a collaborative coding environment, refining designs together, working through code reviews and managing pull requests
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.
Top Skills
AWS
Cplex
Google Or-Tools
Gurobi
Java
Kotlin
Kubernetes
Postgres
Pulp
Pyomo
Python
Spring
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