Sr Software Engineer

PayPal
San Jose
Workplace: OnsiteFull timeUSD 169,576 - 243,500 annuallyFunction: Software EngineeringEducation: mastersSkills: ["Collaboration","Performance optimization","Problem diagnosis"]

Build and evolve payment risk control features and management platforms across the full feature lifecycle—from deployment to continuous optimization. Implement differentiated delivery workflows using real-time, event-driven, and long-term processing approaches. Use PayPal’s UMEngine to translate complex logic into deployable artifacts, design and optimize Spark pipelines with data science, and maintain job reliability with DataALM. Advance internal operations automation architecture and monitoring workflows.

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FursaFursa
PayPal
PayPal
1 day ago

Sr Software Engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 6 hours agoStatus: Live

Job Summary

Build and evolve payment risk control features and management platforms across the full feature lifecycle—from deployment to continuous optimization. Implement differentiated delivery workflows using real-time, event-driven, and long-term processing approaches. Use PayPal’s UMEngine to translate complex logic into deployable artifacts, design and optimize Spark pipelines with data science, and maintain job reliability with DataALM. Advance internal operations automation architecture and monitoring workflows.
Location: San Jose
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering
Seniority: Mid level

Key Responsibilities

  • •Maintain and enhance payment risk control features and management platforms, overseeing the full lifecycle from creation and deployment to optimization.
  • •Implement differentiated delivery workflows for features, including real-time contextual analysis, event-driven logic, and periodic data warehouse synchronization.
  • •Develop and use UMEngine to convert complex feature logic into deployable artifacts embedded in the feature management platform.
  • •Collaborate with data science to design executable Spark pipelines and tune cluster resources to ensure reliable, high-throughput data delivery.
  • •Design and optimize internal operations automation workflows and platform architecture, using DataALM for failure diagnosis, retry mechanisms, and proactive monitoring.

Pay and Benefits

Salary: USD 169,576 - 243,500 annually
Perks:Health InsurancePaid Leave

Key Requirements

  • •Master’s degree (or foreign equivalent) in Computer Science, Engineering, or a related field plus 3 years’ experience, or a Bachelor’s plus 5 years, in the job offered or a related occupation.
  • •3+ years designing and developing distributed data processing systems using Apache Spark for payment transaction processing and risk feature development.
  • •3+ years using Python for data engineering and implementing risk models or feature logic in production.
  • •3+ years using SQL-based data warehouse platforms such as Hive or BigQuery for large-scale analysis and historical processing.
  • •3+ years designing and implementing workflow orchestration pipelines using Apache Airflow (or similar) in production systems.
Experience:Payment technologyFinancial servicesRisk feature development
Education:Master's in Computer Science, Engineering, or a closely related field
Skills:CollaborationPerformance optimizationProblem diagnosis
Tech Stack:Apache SparkPythonSQLHiveBigQueryHadoopHBaseApache AirflowAerospikeUMEngineDataALMOpsErrorAgentKubernetesDocker

Eligibility

Work Authorization:Authorization required. Sponsorship not provided.

Company Brief

PayPal
Global online payments platform enabling digital and mobile payments, money transfers, and merchant services for consumers and businesses, supporting e‑commerce transactions across multiple currencies and payment methods.
Industry: Payments
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: San Jose, United States
Founded: 1998
WebsiteLinkedIn