Staff Software Engineer - Infrastructure

Fivetran Fivetran · Data AI · Bangalore, India · Engineering Department

Fivetran is seeking a Staff Software Engineer - Infrastructure to build and maintain a seamless, reliable platform for the dbt platform across AWS, Azure, and GCP. The role focuses on automation, self-service, developer velocity, and multi-cloud infrastructure design, ensuring performance and reliability. The engineer will work with tools like Terraform, Kubernetes, Python, and Go to optimize infrastructure and reduce cloud spend.

What you'd actually do

  1. Design, operate, and support infrastructure systems with parity across tenancy models (single vs multi) and public clouds (AWS, Azure, and GCP) - and work with engineering teams to get their services consistently deployed to those environments
  2. Bring cloud infrastructure expertise to the team, helping us strengthen and scale our infrastructure as we expand dbt Cloud’s multi-cloud capabilities.
  3. Help create a great developer experience while working with our close partners in Architecture, Release Engineering, Product Engineering and Security
  4. Leverage tools and languages such as Terraform, Kubernetes, Python, Bash, Helm, ArgoCD, Go, and DataDog
  5. Design and build automation to eliminate manual toil and streamline infrastructure operations at scale

Skills

Required

  • GCP, Azure, or AWS expertise
  • Terraform
  • Kubernetes
  • Python
  • Bash
  • declarative Infrastructure as Code
  • automate tasks
  • asynchronous work in a remote, distributed team
  • excellent communication and writing skills

Nice to have

  • multiple cloud environment experience
  • Kubernetes administration and troubleshooting

What the JD emphasized

  • seamless, reliable platform
  • automation, self-service, and improving developer velocity
  • multi-cloud dbt Cloud
  • infrastructure systems with parity across tenancy models (single vs multi) and public clouds (AWS, Azure, and GCP)
  • strengthen and scale our infrastructure
  • great developer experience
  • reduce cloud spend without sacrificing reliability
  • automate tasks