Database Reliability Engineer - Cloud Engineering

Cloud Engineer AWS Aurora PostgreSQL Google Cloud SQL Oracle Database

Support Workday Planning Cloud database infrastructure, working with technologies like AWS Aurora PostgreSQL, Google Cloud SQL ,Oracle Database.
Ensure the Cloud Database platform can effectively meet performance & SLA requirements while supporting capacity planning / sizing exercises and new initiatives.
Participate in database infrastructure automation leveraging Terraform, Chef, Jenkin,Python and Golang.
Participate in Planning and executing complicated technical projects that interact with a wide variety of teams within the company.
Create and respond to production monitors: triage, troubleshoot and resolution, Perform Root cause analysis.
Good experience at problem solving and complexity analysis on the large distributed systems and maintaining operational runbooks.
Support the deployment of cloud database solution software during and off regular office hours
Responsible for implementation, configuration, maintenance, and performance of system health for high-concurrency PostgreSQL,Oracle database systems ensuring the availability and consistent performance, supporting product development teams.
Support for both Linux and Windows systems.
Participate in on-call monitoring response
Note: This role includes a rotational weekend shift. While it is not possible to be definitive, as it depends on business needs, the maximum frequency we would expect is one week in four.

3 to 5 Years of PostgreSQL database administration, or related Operations and support experience.
3+ years of experience working directly with AWS Aurora PostgreSQL services; AWS Certification preferred; strong knowledge of AWS services and security required.
2+ Years Experience with at least one programming language like: Go, Python, Bash, Perl
Experience developing databases with an Agile development process including scrums, planning events, backlog grooming, retrospectives and demos.
Experience in Design and implementing scalable database schemas and configurations, File system layout, Physical partitioning, Sharding and Replication, incremental backups, Restores, and recovery models.
Deep understanding of systems performance of PostgreSQL, and advanced knowledge of Postgres internals
Experience with Infrastructure automation (Terraform, Ansible, etc.), CI/CD pipelines (GIT, Jenkins etc), and configuration management tools( Ansible, Chef etc).
Splunk, Nagios, Elasticsearch, Kibana, CloudWatch and Logstash and ways to scale these systems.
Experience working with private and public clouds (IAAS, GCP, AWS, etc) and capacity management , Cost Optimization principles.