Real output, real job posting

This is what SleevIx actually generates

Below is a real example. Job description on the left, the cover letter SleevIx produced on the right. No editing, no template — just the output from one click.

AJ

Alex Johnson

Senior DevOps Engineer · 7 years experience

KubernetesGCPAzureCloud Cost OptimizationTerraformHelm+4 more
Profile uploaded once. Used for every job.
Job Posting — pasted in
Senior DevOps / Cloud Engineer — Remote

We're a fast-growing fintech building real-time payment infrastructure on GCP and Azure. We're looking for a Senior DevOps Engineer to join our platform team.

What you'll work on:
- Own our Kubernetes clusters (GKE + AKS) running inference and payment workloads across 3 regions
- Drive cloud cost reduction — we're spending more than we should and need someone who's done this before
- Build and maintain CI/CD pipelines with GitHub Actions and ArgoCD
- Infrastructure as code using Terraform and Helm
- On-call rotation for platform reliability (P99 < 200ms is the target)

What we're looking for:
- 5+ years with Kubernetes in production at scale
- Hands-on experience with cloud cost optimization (spot/preemptible instances, right-sizing, committed use)
- Strong Terraform and Helm
- Python or Bash for automation and scripting
- Comfortable working async across time zones
Cover Letter — generated in 8s

Hi there,

I'm applying for the Senior DevOps / Cloud Engineer role. My background sits at the intersection of Kubernetes at scale, cloud cost reduction, and multi-cloud infrastructure — which matches exactly what your platform team is dealing with.

On the cost side, I've built systems that dynamically route workloads between spot, preemptible, and reserved instances based on priority and runtime estimates. On one project this cut monthly compute spend by over 40% with no throughput impact. I also introduced committed use discount planning tied to forecasted usage, which compounded those savings over time.

For Kubernetes, I've managed production GKE and AKS clusters running latency-sensitive workloads — similar to what you're describing with P99 < 200ms targets. I've handled multi-tenant setups with custom admission controllers, and I'm comfortable with the full GitOps loop using ArgoCD and GitHub Actions for CI/CD.

On the tooling side, I use Terraform for all infrastructure state, Helm for Kubernetes packaging, and Python and Bash for automation and pipeline scripting. That covers most of the stack you listed.

I'm available immediately and work well async across time zones.

Thanks, Alex Johnson

185 words SleevIx AI

Why this letter works

Opens by naming the exact intersection of skills the job requires
Includes a real metric (40% cost reduction) — not a vague claim
References specific technologies from the job post (GKE, AKS, ArgoCD)
Addresses the P99 latency requirement directly
Closes with availability — short, confident, not filler

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