Sr Software Engineer

PayPal•San Jose, CA

14d•$169,576 - $243,500•Hybrid

About The Position

PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy. We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers. We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account balance, PayPal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards. Our PayPal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other. We offer merchants an end-to-end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with their customers, process exchanges and returns, and manage risk. We enable consumers to engage in cross-border shopping and merchants to extend their global reach while reducing the complexity and friction involved in enabling cross-border trade. Our beliefs are the foundation for how we conduct business every day. We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do – and they push us to ensure we take care of ourselves, each other, and our communities.

Requirements

Master’s degree, or foreign equivalent, in Computer Science, Software Engineering, or a closely related field plus three years of experience in the job offered or a related occupation.
Bachelor’s degree, or foreign equivalent, in Computer Science, Software Engineering, or a closely related field plus five years of experience in the job offered or a related occupation.
Java programming experience with focus on building decision engine, rule execution systems, and DSL runtime environments (3 years).
Experience designing and developing rule-based systems using custom Domain-Specific-Languages (DSL) with ANTLR or equivalent parser-generator frameworks (3 years).
Experience designing and implementing Python backend services to support collaborative rule authoring, API development, and platform tooling (3 years).
Experience working with relational databases like MySQL and cloud data technologies, including BigQuery and Bigtable for data logging, extraction, transformation and reporting for building reporting systems (3 years).
Experience with Google Cloud Platform (GCP) technologies including Google Kubernetes Engine (GKE) and Dataproc for scheduled job processing, to build and operate cloud-native applications at scale (3 years).
Experience instrumenting signals via micrometer logging, and setting up dashboards to capture different platform metrics of the rule execution system using monitoring platforms like Datadog or similar data observability platforms (3 years).
Experience working with Apache Kafka ecosystem to enable high-throughput, low-latency data streaming for the EDM rule decision platform (2 years).
Experience developing end to end testing pipeline, including unit, integration and shadow testing specific to rule flows utilizing CI/CD pipelines like Jenkins/Harness, and Kubernetes deployment creation to trigger shadow testing (2 years).
Experience with sound system design and architecture to define non-functional requirements for software project and make reasonable trade-offs while designing systems (2 years).

Responsibilities

Design, develop, and maintain rule-based systems using a custom Domain-Specific Language (DSL) built with ANTLR, including grammar definition, parser generation, and runtime execution.
Design and implement decision engine and execution systems in Java to evaluate and process business rules at scale.
Design and build Python backend services that power collaborative rule authoring, API integrations, and platform tooling.
Engineer high-throughput, low-latency data pipelines using Apache Kafka to enable real-time event streaming and data processing across backend systems.
Develop and optimize SQL queries and data models, and leverage cloud data technologies such as BigQuery and Bigtable to support data extraction, transformation, and operational reporting.
Design, configure, and manage Kubernetes environments including deployment pipelines, scaling strategies, and cluster operations.
Leverage Google Cloud Platform technologies such as Google Kubernetes Engine (GKE) and Dataproc for scheduled jobs to build and operate cloud-native applications.
Develop and maintain comprehensive test suites including unit, integration, and end-to-end tests to ensure system reliability and code quality across all platform components.
Work with monitoring and observability tools to instrument services, track system health, set up alerts, and diagnose production issues in real time.
Participate in on-call rotation to provide operational support for the platform, triage and resolve production incidents, and drive root cause analysis and post-incident reviews.
Mentor and guide junior engineers through code reviews, design discussions, and knowledge-sharing sessions, fostering a culture of technical excellence and continuous learning within the team.