Senior Cloud DB Engineer — Multi-Cloud, IaC & AI Ops

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

Benefits offered by this job

Flexible hybrid work schedule

Healthcare coverage for you and family

Equity or incentive compensation

Job summary

PayPal is seeking a Senior Cloud Database Engineer to lead multi-cloud database initiatives and optimize performance across petabyte-scale environments. You will architect cloud-native solutions, build IaC frameworks, and automate operations, while collaborating with product engineering and ML teams to advance analytics and platform goals.

The role emphasizes reliability, scalability, and proactive optimization, with a balanced hybrid work model and strong emphasis on security and compliance.

Qualifications

• 3+ years of relevant experience with a Bachelor's degree or equivalent.
• Strong proficiency in BigTable, Oracle, MySQL/MariaDB, Hadoop, Spark, Kafka, BigQuery, and Kubernetes.
• Hands-on experience with multi-cloud (AWS, GCP, Azure) and IaC tools.

Responsibilities

• Design, deploy, and manage high-performance database clusters across cloud providers.
• Architect multi-cloud database solutions and automate operations with IaC.
• Develop observability and alerting for high-throughput systems.
• Lead incident response and ensure security, compliance, and documentation best practices.
• Collaborate with engineers, data scientists, and ML teams to support analytics goals.

Skills

BigTable

Oracle

MySQL/MariaDB

Hadoop

Spark

Kafka

BigQuery

Kubernetes

Terraform

Ansible

Puppet

GitOps

Python

SQL

Bash

Java

Scala

AWS

GCP

Azure

Linux

Grafana

Datadog

ELK

Education

Bachelor's degree or equivalent

Tools

Terraform

Ansible

Puppet

GitOps

Job description

PayPal is seeking a Senior Cloud Database Engineer to lead multi-cloud database initiatives and optimize performance across petabyte-scale environments. You will architect cloud-native solutions, build IaC frameworks, and automate operations, while collaborating with product engineering and ML teams to advance analytics and platform goals.

The role emphasizes reliability, scalability, and proactive optimization, with a balanced hybrid work model and strong emphasis on security and compliance.