PayPal

Software Engineer

PayPal

full-time

Posted on:

Origin:  • 🇺🇸 United States • California

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Salary

💰 $100,500 - $173,250 per year

Job Level

JuniorMid-Level

Tech Stack

CloudDistributed SystemsDockerJavaKafkaKubernetesPythonSDLCSpark

About the role

  • Implement tasks within the Software Development Lifecycle (SDLC) with oversight from more experienced staff
  • Follow well-established internal conventions and standard procedures
  • Understand internal standards & processes and apply them to make technical decisions
  • Collaborate with peers, manager, and project lead to gain understanding of tasks and review solutions
  • Contribute to code & design reviews
  • Build and enhance experimentation platform features
  • Own features end-to-end from requirements analysis to testing, deployment, and monitoring
  • Collaborate with Product, Data Science, ML, and Business Tech partners to deliver experimentation capabilities
  • Participate in system design discussions balancing scalability, maintainability, and performance
  • Troubleshoot platform issues and improve resiliency and developer experience
  • Engage in code and design reviews upholding engineering rigor
  • Continuously learn and apply new technologies to improve experimentation velocity and reliability

Requirements

  • Minimum of 2 years of relevant work experience
  • Bachelor's degree or equivalent experience
  • 2+ years of professional software development experience (preferred)
  • Proficiency in one or more backend programming languages (Java, Python, or similar)
  • Strong debugging and performance optimization skills
  • Familiarity with experimentation platforms, measurement systems, or A/B testing frameworks
  • Experience with data pipelines, streaming/messaging systems (e.g., Kafka, Flink, Spark), or real-time analytics
  • Understanding of cloud-native systems, containerization (Docker/Kubernetes), and CI/CD pipelines
  • Strong problem-solving skills
  • Effective communicator and collaborative in fast-paced environment
  • Passion for experimentation and data-driven decision-making
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