Job Summary:

Job Description:

PayPal, Inc. seeks Sr Software Engineer in San Jose, CA

Job Duties: Maintain and enhance PayPal's payment risk control features and management platforms. Oversee the full lifecycle of features within the payment infrastructure, from creation and deployment to ongoing optimization at crucial business events. Implement differentiated delivery workflows based on feature requirements, such as real-time contextual analysis for low-latency delivery, event-driven logic for mid-term features using Aerospike, and periodic data warehouse synchronization for long-term features. Develop and use PayPal's proprietary tool UMEngine to convert complex feature logic into deployable artifacts, embedding them into the feature management platform. Collaborate with the data science team to interpret business requirements and design executable Spark pipelines, including data transformations, feature engineering, complex computations, aggregations, and input/output processing. Optimize Spark pipelines by tuning cluster resources and refactoring code, then utilize PayPal's internal platform DataALM to maintain job stability by executing failure diagnosis, retry mechanisms, and proactively monitoring progress to ensure job SLA remains above 99% and executes reliable downstream data delivery. Drive the design, implementation, and optimization of PayPal's internal operations automation platform architecture, developing tools for OpsErrorAgent and focusing on improving process efficiency and system reliability. Design automated workflows for monitoring, SOP recommendation, and resolution approval, using proprietary automation tools and cloud-based solutions for realtime data persistence and integration. Partial telecommuting permitted from within a commutable distance.

Minimum Requirements: Master's degree, or foreign equivalent, in Computer Science, Engineering, or a closely related field plus three years of experience in the job offered or a related occupation. Employer will accept a Bachelor's degree, or foreign equivalent, in Computer Science, Engineering, or a closely related field plus five years of experience in the job offered or a related occupation.

Special Skill Requirements:

1. Experience designing and developing distributed data processing systems using Apache Spark for payment transaction processing and risk feature development (3 years).

2. Experience leveraging Python for data engineering and implementation of risk models or feature logic in production environments (3 years).

3. Experience using SQL-based data warehouse platforms such as Hive or BigQuery to support large-scale data analysis and historical data processing (3 years).

4. Experience working with distributed data storage technologies such as Hadoop or HBase to support large-scale data processing (3 years).

5. Experience designing and implementing workflow orchestration pipelines using Apache Airflow or similar tools in production systems (3 years).

6. Experience deploying risk models or feature logic into enterprise risk management platforms or transaction decisioning systems (3 years).

7. Experience optimizing solution performance in high-throughput financial transaction systems (3 years).

8. Experience collaborating with cross-functional teams to translate business or risk requirements into production-ready solutions within payment technology platforms (3 years).

9. Experience implementing real-time or event-driven architectures for high-throughput, low-latency systems, including the use of NoSQL databases such as Aerospike (2 years).

10. Experience building, deploying, and operating containerized applications using Kubernetes and Docker in cloud environments (2 years).

Additional Responsibilities & Preferred Qualifications:

The base pay for this role will depend on where you work and the relevant experience and expertise you bring. The expected range of pay for this role by location is:

Primary Location | Pay Range:

San Jose, California | Salary: $169,576.00-243,500.00 per annum. 40 hours per week; M-F, 9:00 a.m. to 5:00 p.m.

Additional compensation for this role may include an annual performance bonus, equity, or other incentive compensation, as applicable.

Must be legally authorized to work in the U.S. without sponsorship

Subsidiary:
PayPal

Travel Percent:
0

PayPal does not charge candidates any fees for courses, applications, resume reviews, interviews, background checks, or onboarding. When making an application directly, we will never ask you to share passwords, one-time passcodes (OTP), or verification codes. Any such request is a red flag and likely part of a scam. All communication regarding your application will come from official PayPal email domains. If you suspect fraudulent activity, please report it immediately. To learn more about how to identify and avoid recruitment fraud please visit https://careers.pypl.com/contact-us.

For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations.

Our Benefits:

At PayPal, we're committed to building an equitable and inclusive global economy. And we can't do this without our most important asset-you. That's why we offer comprehensive, choice-based programs, to support all aspects of personal wellbeing-physical, emotional, and financial-delivering meaningful value where it matters most. We strive to create a flexible, balanced work culture with a holistic approach to benefits, including generous paid time off, healthcare coverage for you and your family, and resources to create financial security and support your mental health.

Any general requests for consideration of your skills, please Join our Talent Community.

We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don't hesitate to apply.