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: 11 days ago
Freshness: Confirmed live yesterday
Closes: Mar 8, 2027
Nearby: 99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $168k

This role $139k

$101k most similar roles pay here $211k

This role pays less than 75% of similar roles. Most pay $142,112–$193,125 — the shaded band above. At the midpoint, this role pays about $139k versus about $168k 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 79 open roles on FindRole.

Listed pay typically runs $167,149–$238,700 across 79 roles with salary data.

Most-posted roles

View all roles at PayPal

At a glance

TL;DR · Senior Cloud Database Engineer

Role Posting Log in to save

Sr. Cloud Database Engineer As part of the Transaction Processing and Data Services team, you will manage mission-critical OLTP database infrastructure for a global payments platform processing billions of transactions. You will lead strategic initiatives to improve availability, scalability, and security across petabyte-scale environments by architecting multi-cloud solutions on AWS, GCP, and Azure. Your daily responsibilities include building Infrastructure-as-Code frameworks using Terraform, Ansible, Puppet, and Packer, while automating schema deployments via GitOps and CI/CD workflows. You will optimize performance through indexing and partitioning, develop Python-based automation and AI-driven tools, and manage observability systems using Grafana, Datadog, and Prometheus. The role requires proficiency in BigTable, Oracle, MySQL, Hadoop, Spark, Kafka, and Kubernetes. You will solve complex technical challenges involving high-throughput systems, ensuring reliability through advanced performance tuning and proactive incident response for critical payment infrastructure.

Skills

BigTable Oracle MySQL Cloud SQL AWS GCP Azure Terraform Ansible Puppet Packer GitOps CI/CD Grafana Datadog Prometheus ELK Python SQL Bash Java Scala Hadoop Spark Kafka BigQuery Kubernetes

What you'll do

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

What we're looking for

A Bachelor's degree or an equivalent combination of education and experience is required.
At least 3 years of relevant experience is required.
Proficiency in BigTable, Oracle, MySQL/MariaDB, Hadoop, Spark, Kafka, BigQuery, and Kubernetes is required.
Expertise with Terraform, Ansible, Puppet, and GitOps automation frameworks is required.
Strong programming skills in Python and SQL are required, with familiarity in Bash, Java, or Scala.
Experience with AWS, GCP, and Azure environments, along with Linux system administration and distributed systems troubleshooting, is required.
Deep understanding of observability tools such as Grafana, Datadog, and ELK is required.
7+ years of experience with enterprise-grade database technologies, petabyte-scale infrastructure, or generative AI tools (preferred).

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