Kubernetes Platform Engineer — ML, Automation & Production

PayPal, Inc.; Scottsdale (AZ); Hybrid; USD 101,000 - 150,000; Full time

Benefits offered by this job

Hybrid work model

Generous paid time off

Job summary

PayPal, Inc. is seeking engineers to maintain a large production Kubernetes environment, writing production code in Go, Java, and Python. You will apply ML, data analysis, and AI techniques to optimize the cluster’s efficiency and cost.

The role involves operating home-grown platform systems, automating workflows, and owning reliability-increasing improvements within a balanced hybrid work model based in Scottsdale, AZ.

Qualifications

• 1+ years relevant experience and a Bachelor’s degree or equivalent.
• Experience with Kubernetes and production infrastructure.
• Experience applying ML to operational problems.
• Experience building automation for production systems.
• Experience with cloud platforms, especially GCP.

Responsibilities

• Implements tasks within the Software Development Lifecycle (SDLC) with oversight.
• Collaborates with peers, manager and project lead to review solutions.
• Design, build, and operate components of home-grown platform systems.
• Apply ML, data analysis, and AI techniques to improve cluster running.
• Take part in operational ownership and root cause analysis.

Skills

ML techniques

Data analysis

Automation

Observability tooling

GCP

Large-scale clusters

Education

Bachelor's degree or equivalent

Tools

Go

Java

Python

Kubernetes

Job description

PayPal, Inc. is seeking engineers to maintain a large production Kubernetes environment, writing production code in Go, Java, and Python. You will apply ML, data analysis, and AI techniques to optimize the cluster’s efficiency and cost.

The role involves operating home-grown platform systems, automating workflows, and owning reliability-increasing improvements within a balanced hybrid work model based in Scottsdale, AZ.