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Staff Database Engineer at PayPal
San Jose, California, United States -
Full Time

Start Date

Immediate

Expiry Date

10 Mar, 26

Salary

0.0

Posted On

10 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Database Management, MySQL Tuning, CloudSQL, BigTable, Oracle, Infrastructure-as-Code, Terraform, Ansible, Puppet, Kubernetes, CI/CD Pipelines, Python, Hadoop, Spark, Kafka, Observability

Industry

Software Development

Description
Architect, configure, and manage scalable, highly available database clusters (MySQL, CloudSQL, BigTable, Oracle). 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. 5+ years relevant experience and a Bachelor's degree OR Any equivalent combination of education and experience. Expertise in 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.
Responsibilities
The Staff Database Engineer will architect, configure, and manage scalable database clusters while implementing Infrastructure-as-Code and developing CI/CD pipelines. They will also optimize database systems for performance and collaborate with various teams to deliver resilient data solutions.