Description

In this role, you will focus on ensuring the reliability and performance of database platforms while automating operations and building robust infrastructure. You will collaborate with various teams to enhance self-service capabilities and streamline processes.

Requirements

• •Strong experience operating production databases
• •Reliability-first mindset with attention to latency and correctness
• •Solid experience with Linux and on-prem environments
• •Experience with automation and Infrastructure-as-Code tools
• •Familiarity with Kubernetes or motivation to deepen expertise
• •Ability to debug complex systems end-to-end
• •Experience with high-throughput and/or low-latency data systems
• •Strong observability skills
• •Experience building internal platforms or self-service tooling
• •Programming skills in Python, Go, Rust, or similar

Tasks

• •Ensure database platform reliability
• •Manage availability and performance
• •Oversee backups and restores
• •Handle replication and upgrades
• •Plan capacity and respond to incidents
• •Automate database operations
• •Provision and patch databases
• •Manage migrations and schema changes
• •Schedule maintenance windows and rollouts
• •Build and maintain on-prem infrastructure
• •Establish compute, storage, and networking
• •Implement security hardening and observability
• •Develop disaster recovery solutions
• •Support Kubernetes for data workloads
• •Define patterns for stateful services
• •Manage operators and storage classes
• •Implement resource management and lifecycle practices
• •Define operational guardrails
• •Enforce access controls and secrets management
• •Establish change management workflows
• •Create and maintain runbooks
• •Collaborate with internal users to enhance self-service capabilities
• •Reduce operational friction while ensuring safety

Tools & Technologies