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From the employer's careers site First seen 27 Oct 2026

Software Engineer - Credit Production Engineering

PayPal Scottsdale, Arizona Hybrid senior full-time

Salary

$123,500 - $183,700 Annually

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Description

This role owns the software Credit Production Engineering runs on, delivering complete solutions across all phases of the SDLC for CPE's internal platforms. The ideal candidate will have 3+ years of relevant experience and a Bachelor's degree, and will be responsible for designing, implementing, testing, and deploying software solutions.

Responsibilities:

  • Deliver complete solutions spanning all phases of the Software Development Lifecycle (SDLC)
  • Guide junior engineers and provide technical guidance
  • Operate with little day-to-day supervision, making technical decisions based on knowledge of internal conventions and industry best practices
  • Apply knowledge of technical best practices in making decisions
  • Own CPE's tooling codebases as products, applying and upholding code review, testing, and release practices
  • Design, build, and operate new services that reduce the team's toil on repetitive and manual work
  • Partner with engineering teams outside CPE to obtain the service topology and dependency knowledge CPE's tooling depends on

Requirements:

  • 3+ years relevant experience and a Bachelor’s degree
  • Working fluency in Shell scripting, Python, and TypeScript
  • Depth in databases: schema design, migrations, roles and grants, indexing and query performance
  • Production experience with cloud infrastructure, including deployment and observability
  • Operational credibility with on-call engineers

Preferred Qualifications:

  • Demonstrated ownership of a production codebase
  • Experience with PostgreSQL, pgvector, or another vector store
  • Retrieval systems or LLM tooling
  • Managed Postgres at scale
  • Alerting and monitoring platforms
  • Event correlation, anomaly detection, or time-series analysis

Skills

Nice to have

  • PostgreSQL
  • pgvector
  • retrieval systems
  • LLM tooling
  • managed Postgres
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