Staff Database Engineer This job designs, implements, and maintains advanced, large-scale database and data platforms that drive performance, reliability, and cost-efficiency. This role combines deep technical expertise in automation, observability, and Infrastructure-as-Code with a focus on operational excellence and innovation. The engineer leverages cloud-native technologies, Big Data systems, and AI-powered automation to optimize mission-critical OLTP and analytics platforms across multi-cloud environments. This position is ideal for technologists who thrive on solving complex system-level challenges and advancing PayPal's data infrastructure.
Essential Responsibilities:
Architect, configure, and manage scalable, highly available database clusters (Oracle, Google Spanner, MySQL, CloudSQL, BigTable).Implement Infrastructure-as-Code using Terraform, Ansible, Puppet, and Kubernetes.
Develop CI/CD pipelines for schema and infrastructure automation with Jenkins, GitHub Actions, and GitLab CI.Design and enforce secure data handling, encryption, and access control practices.
Optimize database and Big Data systems for performance, scalability, and cost efficiency.
Build monitoring and observability systems with Prometheus, Grafana, ELK, and Datadog.
Drive SLIs/SLOs/SLAs for database reliability and uptime.
Automate database and platform management with Python-based tooling.
Lead on-call rotations and drive root cause analysis and incident resolution.
Collaborate with DevOps, data engineering, and analytics teams to deliver resilient data solutions.
Expected Qualifications:
12+ years relevant experience and a Bachelor's degree OR Any equivalent combination of education and experience.
Expertise in Oracle/MySQL tuning, replication, indexing, and partitioning.
Proficiency in Hadoop, Spark, Kafka, and distributed system design.
Strong multi-cloud experience (AWS, GCP, Azure).Hands-on experience with Terraform, Ansible, Puppet, Packer, and Kubernetes.
Advanced programming in Python and Bash for automation and integration.
Deep knowledge of observability stacks (Prometheus, Grafana, Datadog, ELK).Strong analytical, troubleshooting, and optimization skills.
Commitment to security, compliance, and operational excellence.
