Senior Multi-Cloud Database Engineer AI-Driven Ops

Venmo, LLC; San Jose (CA); Hybrid; USD 130,000 - 192,000; Full time

Job summary

PayPal, the parent company of Venmo, is seeking a Senior Database Engineer to ensure reliability, scalability, and performance of its global data platforms. You will architect petabyte-scale systems, automate deployment, and optimize OLTP and analytics environments across AWS, GCP, and Azure.

Collaboration with data and ML teams is essential for platform resilience. You will design cloud-native databases, implement IaC, and lead incident response while championing security, governance, and

Qualifications

• 3+ years of relevant experience or equivalent
• Proficiency with BigTable, Oracle, MySQL/MariaDB, Hadoop, Spark, Kafka, BigQuery, Kubernetes
• Experience with Terraform, Ansible, Puppet, and GitOps automation frameworks
• Strong Python and SQL programming; Bash/Java/Scala familiarity
• Experience with AWS, GCP, and Azure environments
• Linux and distributed systems troubleshooting
• Observability tools (Grafana, Datadog, ELK)

Responsibilities

• Design, deploy, and manage high-performance database clusters across multi-clouds
• Architect multi-cloud database solutions across AWS, GCP, and Azure
• Build IaC frameworks using Terraform, Ansible, Puppet, and Packer
• Optimize databases with indexing, partitioning, and tuning
• Automate schema deployment and CI/CD workflows
• Lead incident response with self-healing and failover strategies
• Develop observability and alerting with Grafana, Datadog, Prometheus
• Create Python-based automation and AI-driven optimization tools
• Ensure database security, compliance, and documentation
• Collaborate with engineers, data scientists, and ML teams

Skills

BigTable

Oracle

MySQL/MariaDB

Hadoop

Spark

Kafka

BigQuery

Kubernetes

Python

SQL

Bash/Java/Scala

Education

Bachelor's degree

Tools

Terraform

Ansible

Puppet

GitOps

Job description

PayPal, the parent company of Venmo, is seeking a Senior Database Engineer to ensure reliability, scalability, and performance of its global data platforms. You will architect petabyte-scale systems, automate deployment, and optimize OLTP and analytics environments across AWS, GCP, and Azure.

Collaboration with data and ML teams is essential for platform resilience. You will design cloud-native databases, implement IaC, and lead incident response while championing security, governance, and