Staff / Senior Infrastructure Engineer

Workato delivers enterprise infrastructure for the agentic era, redefining iPaaS and helping enterprises unify data, applications, processes, and AI into a single, governed platform. A leader in Enterprise MCP and trusted by 50% of the Fortune 500, Workato’s cloud-native architecture connects every application, data source, and process to power real-time orchestration at scale. With enterprise-grade security and continuous innovation at its core, Workato provides the trusted foundation for organizations to automate with confidence and operationalize AI across the business. To learn more, visit www.workato.com

Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles. We are driven by innovation and looking for team players who want to actively build our company. 

But, we also believe in balancing productivity with self-care. That’s why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives. 

If this sounds right up your alley, please submit an application. We look forward to getting to know you!

Also, feel free to check out why:

• Business Insider named us an “enterprise startup to bet your career on”

  
  

• Forbes’ Cloud 100 recognized us as one of the top 100 private cloud companies in the world

  
  

• Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America

  
  

• Quartz ranked us the #1 best company for remote workers

  
  

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.

  
  

• 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.

  
  

(REQ ID: 2539)