Staff Database Engineer

San Jose, CA - USA

Monthly Salary: Not Disclosed

Posted on: 3 hours ago

Vacancies: 1 Vacancy

Job Summary

Job Title: Staff Database Engineer

Job Summary:

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 PayPals data infrastructure.

Job Description:

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 Bachelors 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.

Job Title: Staff Database Engineer Job Summary: 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 wit...

Job Title: Staff Database Engineer

Job Summary:

Job Description:

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 Bachelors 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.