Staff Software Engineer, Money (Contract)
| Estimated Pay | $56 per hour |
|---|---|
| Hours | Full-time, Part-time |
| Location | Claymont, Delaware |
Compare Pay
Estimated Pay$36.81
$55.61
$81.33
About this job
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.
We are seeking a Staff Software Engineer (Contract) to join the Transactional Fraud Squad. The Fraud Squad's mission is to fortify member trust and minimize fraud losses across Checking, Savings, Invest and Credit Card by building safety into the architecture of the products.
On the Fraud Squad, you'll be a member of a fast-paced, dynamic team of full-stack engineers. Fraud mitigation requires maintaining a unique balance of scrappy pragmatism against long-term planning and execution in order to quickly fend off emerging attacks while building a maintainable, forward-thinking architecture.
As a Staff Engineer, you'll be tasked with designing and building critical components and features. You will work closely with stakeholders across the company, implement battle-tested patterns and interfaces, squash bugs, refactor code and continually grow as an engineer. The ideal candidate is both forward-thinking and hands-on, has a strong sense of ownership and drive for delivery, and is a good mentor and co-worker. Additionally, you will demonstrate SoFi's core values by honing your skills as an effective communicator, showing personal responsibility, and setting ambitious goals. If you like working on problems with tangible and lasting impact, we would love to have you on our team!
What you'll do:- Develop innovative features and machine learning models leveraging one of the deepest datasets in the fintech space.
- Partner with experts in product strategy and management to lead the industry in risk and fraud solutions
- Own major aspects of the technical architecture of the product
- Drive the adoption of machine learning techniques across the engineering organization by developing tools and training techniques
- Collaborate with platform developers to design and build Galileo's machine learning platform
- Drive large new features from investigation through design and implementation
- Deliver highly available and scalable services in a production environment
- Mentor other engineers, support the technical culture, and help grow the team
- Generate ideas for new initiatives and technologies
- Bachelor's degree, ideally in a technical field, but we understand great engineers come from a variety of different backgrounds and also consider relevant work experience
- 6+ years experience working with modern technologies on a full-stack team
- Strong knowledge of object-oriented programming best practices
- Strong sense of responsibility; driving a project from inception to completion
- Willingness to roll up your sleeves, collaborate with others and get stuff done
- Affinity for solving problems and shipping impactful features, not polishing perfect code or architecture
- Experience working in a collaborative coding environment, refining designs together, working through code reviews and managing pull requests
- Strong communication and technical leadership skills
- Desire to mentor and help others improve their skills
- Proven track record of building highly-scalable REST APIs
- Experience with workflow orchestration systems, such as Temporal.io
- Prior experience deploying applications using Docker and Kubernetes
- Practical knowledge of CI/CD pipelines (gradle, git, automated testing and deployments)
- History of working with a cloud-based microservice architecture and distributed service communications
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.
SoFi is committed to embracing diversity. 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
Due to insurance coverage issues, we are unable to accommodate remote work from Hawaii or Alaska at this time.
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