Staff / Senior Infrastructure Engineer

About Workato Workato transforms technology complexity into business opportunity. As the leader in enterprise orchestration, Workato helps businesses globally streamline operations by connecting data, processes, applications, and experiences. Its AI-powered platform enables teams to navigate complex workflows in real-time, driving efficiency and agility. Trusted by a community of 400,000 global customers, Workato empowers organizations of every size to unlock new value and lead in today’s fast-changing world. Learn how Workato helps businesses of all sizes achieve more at workato.com. Responsibilities We are hiring a Senior Infrastructure Engineer to join our Infrastructure Storage team and lead the evolution of our database platform. You will be responsible for building, scaling, and operating ClickHouse and other critical databases running on Kubernetes, ensuring reliability and performance for Workato's enterprise automation platform processing billions of events daily. As a Senior Infrastructure Engineer on the Infra-Storage team, you'll architect and operate the database infrastructure that powers Workato's distributed platform. You'll lead technical initiatives around ClickHouse deployment and optimization in Kubernetes, work closely with Data Engineering and Platform teams, and drive automation and reliability improvements across our database fleet. In this role, you will also be responsible to: - Design, deploy, and maintain ClickHouse clusters on Kubernetes at global scale. - Build and operate database infrastructure for multiple database technologies (PostgreSQL, Opensearch, etc.) in Kubernetes. - Develop automation for database provisioning, scaling, backup, and recovery workflows. - Optimize database performance, reliability, and resource efficiency in containerized environments. - Create and maintain Kubernetes operators and manifests for database workloads. - Manage infrastructure through Terraform and Infrastructure as Code practices. - Lead incident response and post-mortem processes for database-related issues. - Collaborate with Data Engineers and application teams on architecture and capacity planning. - Build internal tooling to improve database observability and operational workflows.