Infrastructure Engineer (DevOps)
Competitive
You'll complete your application on the employer's website.
Competitive
You'll complete your application on the employer's website.
Job type
Salary
Competitive
Location
Sector
Posted
22 days ago
As an Infrastructure Engineer at Ondo, you'll help build and run the platform our financial products run on. Our team owns the cloud infrastructure, Kubernetes clusters, delivery pipelines, monitoring, and tooling that every engineering team at Ondo depends on, so you'll see a wide range of systems rather than one.
You won't do this alone. You'll work closely with a diverse team of infrastructure engineers and developers. Expect to debug real production problems, write code and configuration for user-facing applications, and see your changes running in production early. You'll start with well-scoped work and take on more ownership as you learn our systems.
* Collaborate with development teams to build reliable financial services for our customers.
* Help the team build and improve release processes, continuous integration, and deployment automation.
* Extend application monitoring and alerting.
* Participate in an on-call rotation together with infrastructure engineers and developers.
* Troubleshoot issues with user-facing and internal services, and debug production incidents.
* Genuine curiosity and desire to learn new technologies and break things.
* Hands-on Kubernetes experience: you can deploy, inspect, and debug workloads, even if you've never run a cluster yourself.
* Understanding of operating systems, especially Linux internals.
* Experience with "infrastructure-as-code" or "infrastructure-as-data" approaches to infrastructure management.
* Understanding of the GitOps approach to application management.
* Experience with the Prometheus stack or another monitoring solution.
* Experience building infrastructure in a major cloud provider (AWS, Google Cloud, or Azure).
* Programming ability in Go, Python, or another modern, widely adopted language.
* Experience running stateful workloads in production, not only stateless services.
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