Software Engineer, Deposits & Insights
Chime - San Francisco, CA, USA
Posted May 5, 2026
Benefits
- Parental leave
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- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
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- Relocation assistance
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- Childcare support
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- Learning budget
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- Verification
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- Salary
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- 401(k) match
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Schedule
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- Weekend work
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Application
- Cover letter
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- Assessment
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- Deadline
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Where they hire
State eligibility is not yet verified.
About this role
Software Engineer, Deposits & Insights San Francisco, CA, USA About the Role The Deposit & Insights team is looking for a skilled backend engineer to join our team. You'll be leveraging deeply individualized spending insights and member spending behavior to give our members access to the best tools that enable them to spend safely. This role involves collaborating cross functionally, experimenting quickly, and iterating on solutions to find the best points of conversion. The base salary offered for this role and level of experience will begin at $133,000 and up to $184,000. Full-time employees are also eligible for a bonus, competitive equity package, and benefits. The actual base salary offered may be higher, depending on your location, skills, qualifications, and experience. In this role, you can expect to - Drive technical design and architectural decisions, while mentoring engineers and fostering cross-functional collaboration - Lead and contribute to multiple projects simultaneously, balancing ownership of key initiatives with support across broader team efforts - Build and maintain robust, low-latency APIs and backend services that power our Trust and Safety platforms - Become the domain expert in our platform architecture, providing technical decisions and solutions to refine our maturing platforms - Partner with data engineers, analysts, and product managers to ship impactful features that enhance member protection and experience - Improve platform reliability and performance through thoughtful system architecture, observability practices, and automation - Evolve our experimentation, policy lifecycle, and ML integration capabilities to support smarter and faster decision-making at scale - Engineers
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