Senior Cloud Database Engineer - Multi-Cloud AI Automation

PayPal, Inc.; Scottsdale (AZ); Hybrid; USD 112,000 - 166,000; Full time

Job summary

PayPal seeks a Senior Cloud Database Engineer in Scottsdale to lead multi-cloud database design and automation. You will architect cloud-native solutions, develop IaC, automate operations, and drive observability for petabyte-scale workloads.

Key requirements include hands-on with BigTable, Oracle, MySQL/MariaDB, Hadoop, Spark, Kafka, BigQuery, and Kubernetes, plus Terraform/Ansible/Puppet/GitOps expertise. Hybrid work model offered.

Qualifications

• 3+ years of relevant experience with enterprise-grade databases and cloud platforms.
• Proficiency across BigTable, Oracle, MySQL/MariaDB, Hadoop, Spark, Kafka, BigQuery.
• Hands-on with Terraform, Ansible, Puppet, and GitOps workflows.
• Strong Python and SQL skills; Bash/Java/Scala familiarity is a plus.
• Experience in AWS, GCP, and Azure; Linux administration and observability.
• Security, reliability, and automation focus; cross-functional collaboration.

Responsibilities

• Design, deploy, and manage high-performance database clusters across multi-clouds.
• Architect multi-cloud database solutions on AWS, GCP, and Azure.
• Build IaC frameworks with Terraform, Ansible, Puppet, and Packer.
• Automate schema deployment and CI/CD workflows; GitOps integration.
• Lead incident response and implement self-healing and failover strategies.
• Develop observability with Grafana, Datadog, Prometheus; Python-based tooling.

Skills

BigTable

Oracle

MySQL/MariaDB

Hadoop

Spark

Kafka

BigQuery

Kubernetes

Terraform

Ansible

Puppet

Packer

Python

SQL

Bash

Java

Scala

Education

Bachelor's degree or equivalent

Tools

Terraform

Ansible

Puppet

Packer

Job description

PayPal seeks a Senior Cloud Database Engineer in Scottsdale to lead multi-cloud database design and automation. You will architect cloud-native solutions, develop IaC, automate operations, and drive observability for petabyte-scale workloads.

Key requirements include hands-on with BigTable, Oracle, MySQL/MariaDB, Hadoop, Spark, Kafka, BigQuery, and Kubernetes, plus Terraform/Ansible/Puppet/GitOps expertise. Hybrid work model offered.