PayPal Staff Software Engineer 

India, Karnataka, Bengaluru 

245841940

This job acts as a project leader, coordinating the activities of other engineers, determining technical tasks, and improving existing structures and processes. It involves making technical decisions, collaborating with management to set standards, and representing the company to external partners.

Essential Responsibilities:

• Acts as a project or system leader, coordinating the activities of other engineers on the project or within the system
• Determines the technical tasks that other engineers will follow
• Actions result in the achievement of customer, operational, program or service objectives
• Proactively improves existing structures & processes
• Exercises judgement in reconciling diverse and competing priorities (time, quality, complexity risk) to identify optimal solutions to problems
• Notices patterns and condenses repetition into densely meaningful generalized solutions
• Collaborates with management to set/improve standards for engineering rigor
• Trusted to represent PayPal, Inc to the outside world via interactions with partners, customers, or industry organizations

Expected Qualifications:

• 5+ years relevant experience and a Bachelor’s degree OR Any equivalent combination of education and experience.

Preferred Qualification:

• Overall experience of 10+ years with proven track recordof over-achieving engineering, platform delivery and scaling targets in highvolume, innovativeand fast-paced high-pressure environment; proven results in delivery on platform products.
• Solid proficiency in programming languages such as Python, Go and Java
• Experience with cloud platforms (e.g., GCP, AWS, Azure) and containerization technologies (e.g., Docker, Kubernetes)
• Experience with Vertex AI, Jupyter Notebook, Airflow, Kubeflow, Argo, GPU and HPC. Knowledge of GPU optimization and libraries is plus.
• Experience building ML infrastructure or MLOps platforms and Bigdata platforms technologies such as Hadoop, BigQuery, Spark, Hive and HDFS.
• Experience in machine learning concepts, algorithms, and techniques, with hands-on experience in developing and deploying machine learning models using various ML frameworks such as pytorch, tensorflow, scikit-learn, etc.
• Stayup-to-datewith the latest advancements in AI/ML technology and industrytrends andleverage this knowledge to enhance the platform's capabilities.
• Strong communication, listening, interpersonal, influencing, and alignment driving skills; able to convey important messages in a clear and compelling manner
• Demonstrated leadership abilities, including the ability to inspire, mentor, and empower team members to achieve their full potential.

Our Benefits:

Any general requests for consideration of your skills, please