PayPal Staff System & Cloud Engineer 

United States, California, San Jose 

424385220

Day to Day work:- Architect, Design, and implement scalable, production-quality backend microservices and REST/gRPC APIs using your primary language and framework (e.g., Java/Spring Boot, Scala/Akka,
- Architect and support event-driven and real-time data solutions using messaging or streaming platforms such as Apache Kafka, Apache Flink, Apache spark structured streaming, Pulsar, Pub/Sub, or similar.- Integrate with, and optimize, relational (PostgreSQL, MySQL) or NoSQL databases, designing schema and high-performance queries.
- Leverage containerization (Docker) and orchestration (Kubernetes) to build and deploy cloud-native, resilient applications.
- Contribute to CI/CD pipelines, infrastructure as code, and cloud-native operational practices.
- Champion secure coding, observability, monitoring, and performance optimization across all services.
- Document system architecture, real-time data workflows, and operational runbooks.

Essential Responsibilities:

• Lead the configuration, maintenance, and optimization of the organization's network and security infrastructure to ensure high performance and reliability.
• Architect and integrate networks across multiple business units and diverse cloud environments, ensuring seamless connectivity and scalability.
• Champion the use of Infrastructure as Code processes to automate and maintain infrastructure consistency, scalability, and up-to-date configurations.
• Oversee the configuration, deployment, and management of F5 Local Traffic Managers (LTMs) and Advanced Security Modules (ASMs) to ensure seamless application delivery and security.
• Create and implement strategies for integrating cloud Virtual Private Clouds (VPCs), interconnects, and direct connects, ensuring efficient and secure data flow between on-premises and cloud environments.
• Proactively identify opportunities to enhance the network’s scalability and resilience, ensuring it can handle growing business demands and traffic loads.
• Work closely with infrastructure, application, and security teams to ensure network designs meet cross-functional requirements and adhere to best practices.

Minimum Qualifications:

• Minimum of 8 years of relevant work experience and a Bachelor's degree or equivalent experience.

Qualifications:

• Proven experience in developing and implementing AI solutions in machine learning.
  Strong programming skills in languages such as Python, Java, or C++.
  In-depth knowledge of machine learning frameworks and libraries (e.g., TensorFlow, PyTorch).
  Experience with AWS services related to machine learning (e.g., SageMaker, Lambda).
  Excellent problem-solving skills and the ability to work in a fast-paced environment.

Preferred Skills:

• Experience with big data technologies and tools.
• Familiarity with data preprocessing, feature engineering, and model evaluation techniques.
• Knowledge of deep learning and neural networks.
• Ability to work on multiple projects simultaneously and manage time effectively.

Travel Percent:

The total compensation for this practice may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit .

The US national annual pay range for this role is $152,500 to $262,350

Our Benefits:

Any general requests for consideration of your skills, please