Staff Software Engineer

PayPal PayPal · Fintech · San Jose, CA +1 · Software Engineering

Staff Software Engineer at PayPal in San Jose, CA, focused on leading software engineering efforts, designing and developing scalable distributed systems and cloud-based solutions, and contributing to the technical roadmap. Requires experience in Java, microservices, cloud platforms (AWS), event-driven systems (Kafka), API gateways, and observability tools, with a background in the payments domain.

What you'd actually do

  1. Lead software engineering efforts and team-level processes by defining outcomes for others, refining ongoing processes, and providing technical advice to senior leaders on systems, solutions, challenges, and strategy.
  2. Design and develop fault-tolerant and scalable distributed services and systems, and new cloud-based software solutions using experience with distributed services and backend systems, as well as expertise with building services on public cloud -AWS, GCP, Azure.
  3. Determine the technical tasks that other engineers will follow throughout design, development, testing and implementation phases.
  4. Contribute to the technical engineering roadmap by completing quality and thorough assessments of implementation alternatives and their associated tradeoffs and providing recommendations.
  5. Analyze and reconcile diverse and competing priorities to identify optimal solutions to problems, and anticipate consequences and risks linked to implementation choices.

Skills

Required

  • Java
  • OOP
  • design patterns for scalable application development
  • Git
  • modern development workflows including pull requests, code reviews, and CI/CD pipelines with Jenkins and Maven
  • full SDLC including requirements gathering, design documentation, testing, deployment, and post-release support
  • building and maintaining microservices with Spring Boot
  • REST API development
  • service configuration
  • integrations with downstream systems
  • Agile environments
  • collaborating with cross-functional teams
  • API Gateways such as Apigee for API Management and fault tolerance
  • APM/observability tools such as SignalFx, Splunk, Grafana, or mPulse for real-time monitoring, alerting, and root cause analysis
  • AWS (EC2, S3, CloudWatch, and SQS) to deploy, scale, and monitor microservices in production
  • event-driven systems using Apache Kafka including real-time streaming and decoupling services via pub/sub messaging
  • payments domain including exposure to transaction workflows, idempotency handling, and secure service design in regulated environments

What the JD emphasized

  • payments domain including exposure to transaction workflows, idempotency handling, and secure service design in regulated environments