Responsibilities
- Manage and maintain the Kubernetes infrastructure supporting the Database-as-a-Service offering, handling cluster setup, updates, resource planning, and ongoing stability.
- Operate relational database systems like PostgreSQL, MySQL, and MariaDB as stateful applications on Kubernetes using operators and persistent storage, prioritizing high availability, backup capabilities, and data protection.
- Connect the DBaaS environment with OpenStack components such as Nova, Cinder, and Neutron, ensuring proper configuration of networking, storage, and compute for isolated tenant workloads.
- Create automated workflows and infrastructure-as-code solutions using Terraform, Ansible, Python, and Bash to manage deployment, configuration, updates, and lifecycle operations.
- Establish monitoring and observability systems with Prometheus and Grafana to track performance and health metrics, logs, and alerts for both Kubernetes and database layers.
- Develop and maintain operational documentation, SRE methodologies, and incident response protocols, serving as a senior responder in on-call rotations.
- Partner with database architects and development teams to define service level indicators, performance targets, and controlled processes for schema and platform changes.
- Enforce platform-wide security standards including role-based access control, network segmentation, encryption for data at rest and in transit, and secure handling of credentials in shared environments.
- Engage with early adopters and internal teams to gather feedback, assist with integration, and provide guidance on effective platform usage.
- Drive continuous improvement by identifying and resolving issues related to system reliability, performance, and ease of operation through iterative development.
Compensation
Competitive salary and benefits package
Work Arrangement
Flexible work arrangement with remote options
Team
Collaborative engineering team focused on platform reliability and database services
Responsibilities
- Own and operate the Kubernetes platform that powers DBaaS, including cluster provisioning, upgrades, capacity planning, and day-to-day reliability.
- Run relational databases (e.g., PostgreSQL, MySQL, MariaDB) as managed stateful workloads on Kubernetes using operators, StatefulSets, and persistent storage, with a focus on HA, backup/restore, and security.
- Integrate DBaaS with the underlying OpenStack infrastructure (Nova, Cinder, Neutron), ensuring networking, storage, and compute resources are configured correctly for multi-tenant database workloads.
- Design and implement automation and infrastructure-as-code for the platform using tools such as Terraform, Ansible, and Python/Bash, covering provisioning, configuration, upgrades, and lifecycle management.
- Build and maintain observability for DBaaS using Prometheus, Grafana, and related tools, including metrics, logs, alerts, and dashboards that surface health and performance of both Kubernetes and database workloads.
- Develop and document runbooks, SRE practices, and incident response procedures for DBaaS, and participate in on-call rotations as a senior escalation point.
- Work with database architects and application teams to define SLIs/SLOs, capacity and performance expectations, and safe change-management processes for database schemas and platform upgrades.
- Implement and enforce security best practices across the platform, including RBAC, network policies, encryption at rest and in transit, secrets management, and access controls for multi-tenant environments.
- Collaborate with early customers and internal stakeholders to understand their requirements, support onboarding to DBaaS, and guide them in using the platform effectively.
- Continuously improve the platform by identifying reliability, performance, and usability bottlenecks and delivering iterative enhancements that make DBaaS more robust and easier to operate.
Available for qualified candidates