Senior Cloud Database Engineer

PayPal

Confirmed live yesterday High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Scottsdale, AZ
Salary
$111,500–$165,550 / yr
Posted
2 days ago
Freshness
Confirmed live yesterday
Closes
Nov 30, 2026

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $175k
This role $139k
$100k most similar roles pay here $220k

This role pays less than 76% of similar roles. Most pay $142,175–$208,707 — the shaded band above. At the midpoint, this role pays about $139k versus about $175k for comparable roles.

Based on 240 similar postings.

Employer

About PayPal

PayPal is a leading global digital wallet and online payment system, founded in 1998, that allows individuals and businesses to send, receive, and manage funds securely in over 200 markets.

PayPal currently has 49 open roles on FindRole.

Listed pay typically runs $160,500–$235,826 across 49 roles with salary data.

Most-posted roles

View all roles at PayPal

At a glance

TL;DR · Senior Cloud Database Engineer

As a Sr. Cloud Database Engineer on the Transaction Processing and Data Services team, you will manage mission-critical OLTP database infrastructure to power a global payments platform. You will lead strategic initiatives to improve availability, scalability, and security across petabyte-scale environments by architecting multi-cloud solutions and building Infrastructure-as-Code frameworks. Your daily responsibilities include managing BigTable, Oracle, and MySQL clusters, automating schema deployments via GitOps, and developing Python-based tools for performance optimization. You will utilize technologies including Terraform, Ansible, Puppet, Packer, and Kubernetes while monitoring systems with Grafana, Datadog, and Prometheus. The role requires expertise in AWS, GCP, and Azure environments to solve complex problems involving high-throughput systems, incident response, and automated failover strategies. You will also collaborate with engineering teams to ensure data integrity and infrastructure reliability across diverse cloud platforms.

What you'll do

  • Design and manage high-performance database clusters across BigTable, Oracle, MySQL, and Cloud SQL.
  • Architect multi-cloud database solutions across AWS, GCP, and Azure environments.
  • Build Infrastructure-as-Code (IaC) frameworks using Terraform, Ansible, Puppet, and Packer.
  • Automate schema deployment and management through GitOps and CI/CD workflows.
  • Optimize database performance through indexing, partitioning, tuning, and query improvements.
  • Develop Python-based automation and AI-driven tools to enhance database operations.
  • Design monitoring, alerting, and observability systems using Grafana, Datadog, and Prometheus.
  • Lead incident response efforts and implement self-healing and failover strategies for mission-critical systems.

What we're looking for

  • Bachelor's degree or an equivalent combination of education and experience.
  • 3+ years of relevant experience in database engineering or related fields.
  • Proficiency in BigTable, Oracle, MySQL/MariaDB, Hadoop, Spark, Kafka, BigQuery, and Kubernetes.
  • Expertise with Terraform, Ansible, Puppet, and GitOps automation frameworks.
  • Strong programming skills in Python and SQL, with familiarity in Bash, Java, or Scala.
  • Experience managing multi-cloud environments across AWS, GCP, and Azure.
  • Proficiency in Linux system administration and distributed systems troubleshooting.
  • Deep understanding of observability tools such as Grafana, Datadog, and ELK; experience with generative AI tools for database optimization (preferred).

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