Staff / Senior Infrastructure Engineer (relocation)

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.

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:

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  Design, deploy, and maintain ClickHouse clusters on Kubernetes at global scale.

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  Build and operate database infrastructure for multiple database technologies (PostgreSQL, Opensearch, etc.) in Kubernetes.

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  Develop automation for database provisioning, scaling, backup, and recovery workflows.

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  Optimize database performance, reliability, and resource efficiency in containerized environments.

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  Create and maintain Kubernetes operators and manifests for database workloads.

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  Manage infrastructure through Terraform and Infrastructure as Code practices.

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  Lead incident response and post-mortem processes for database-related issues.

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  Collaborate with Data Engineers and application teams on architecture and capacity planning.

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  Build internal tooling to improve database observability and operational workflows.

• 10+ years of experience in infrastructure or database engineering roles.

• Strong experience running stateful workloads on Kubernetes (operators, StatefulSets, persistent volumes).

• Proficiency with Linux systems, performance tuning, and troubleshooting.

• Experience with Infrastructure as Code (Terraform) and configuration management.

• Solid understanding of distributed systems architecture and database internals.

• Proven track record building automation and improving system reliability.

• Experience with cloud infrastructure (AWS preferred).

• Strong analytical and incident management skills.

• Expertise with ClickHouse administration, optimization, and scaling in production.

• Experience with PostgreSQL, Opensearch, Redis, or other database systems.

• Familiarity with Golang or Python for tooling or operators.

• Experience with Kafka, VictoriaMetrics, ArgoCD, or Vault.

• Contributions to database-related open-source projects.

• Understanding of database replication, sharding, and high-availability patterns.