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ClickhouseClickhouse

Senior Backend Engineer - Infrastructure

Build and scale ClickPipes’ backend infrastructure and real-time data onboarding platform across cloud providers. The role requires 5+ years of backend experience, strong Go, Kubernetes, Terraform, distributed systems, and cloud-native architecture expertise.

About the job

Responsibilities

  • Enhance and scale a high-performance data onboarding platform handling increasing real-time data volumes.
  • Own and evolve infrastructure across AWS, with planned expansion to Google Cloud and Azure.
  • Improve deployment pipelines, infrastructure automation, and operational processes.
  • Lead technical discussions and contribute to architectural decisions affecting platform scalability and resilience.
  • Participate in on-call rotations, maintain system reliability, and respond to production incidents.
  • Continuously improve systems using operational metrics, customer feedback, and business requirements.

Requirements

  • 5+ years of industry experience building backend systems.
  • Deep expertise in Kubernetes, distributed systems, cloud services, and platform reliability.
  • Experience with Go, Kubernetes, Terraform or a comparable infrastructure-as-code tool.
  • Knowledge of cloud-native architecture and at least one major cloud service provider.
  • Strong production debugging and complex problem-solving skills.
  • Excellent communication and cross-functional collaboration skills.
  • Ability to work independently with substantial ownership and autonomy.

Benefits

  • Flexible work environment at a globally distributed, remote-friendly company.
  • Employer healthcare contributions.
  • Company stock options.
  • Flexible time off in the United States and generous leave in other countries.
  • USD $500 home-office setup allowance for remote employees.
  • Opportunities to participate in company-wide offsites.

Skills

Go, Kubernetes, Terraform, Distributed Systems, AWS, GCP, Azure, Cloud-Native Architecture, Infrastructure As Code, Deployment Pipelines, Infrastructure Automation, Platform Reliability, Production Debugging

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