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By the time you finish, you will have taken one of our services from a hand deployed container to a self healing workload with autoscaling and health probes that actually work. That is the arc of this six month internship, based in our Bengaluru office on a hybrid week.
The first month is learning by breaking things in the sandbox cluster: deployments, services, ingress, and why a pod sits stuck in CrashLoopBackOff. From month two you take ownership of our internal analytics worker, containerise it properly, write its manifests, set resource requests that are honest rather than optimistic, and put it behind horizontal pod autoscaling. Later you help with cluster upgrades and node pool changes under supervision.
You get a named mentor, a weekly one to one, and access to every incident channel so you can watch how experienced engineers reason under pressure. Nothing you write reaches production without review, and nothing gets reviewed unkindly.
A final year student or recent graduate with Linux comfort, working Docker knowledge, and the habit of reading error messages instead of skimming them. Kubernetes on your resume is a bonus, never a filter. Bring the curiosity and we will handle the rest.
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