Cloud Engineer

• Cloud & Infrastructure : AWS · Kubernetes (K8s) · Terraform · Linux
• Observability & Metrics : Prometheus · Grafana · APM (Datadog / New Relic / Kfuse) · JVM Metrics & GC Analysis · ELK / EFK Stack · Distributed Tracing
• CI/CD & Platform : Jenkins · ArgoCD · Rancher · Git · Docker
• Good to Have(Not Mandatory) : Python / Bash scripting · OpenTelemetry · Zenduty / OpsGenie · ML / AI basics

On-call here is real.Incidents happen outside business hours and when they do, it’s your responsibility to pick them up and drive them forward.

That’s not unusual for this type of role but we want to be direct about it upfront.

Client expectations are high.

You’ll produce RCAs, incident timelines, and status communications that clients read closely.

Your writing needs to be clear, structured, and free of vagueness. “We investigated and fixed the issue” isn’t good enough.

What was the issue, why did it happen, what was the business impact, and what prevents recurrence.

We expect precision regarding your own work.

After a change, an incident, or a deployment, you should be able to clearly explain what you did and why without being prompted.

Ownership doesn’t end when the alert clears.

Who we’re looking for:

• The ideal candidate should have 2.5 years to 5 years of work experience.
• Strong fundamentals. You understand how distributed systems actually behave under load, not just that a dashboard went red. You can read logs, metrics, and traces together.
• Ownership without prompting. If you find a gap in monitoring coverage, you close it. If an RCA feels incomplete, you go back and make it precise. You don’t wait to be asked.
• Writes clearly under pressure. During an incident, your updates should help not add noise. After one, your documentation should be good enough that anyone picking it up six months later understands what happened.
• Curious about what comes next. The AI tooling initiative needs someone interested in figuring it out, not just waiting for a ticket. Some comfort with experimentation and ambiguity goes a long way here.

CloudifyOps is proud to be an equal opportunity employer with a global culture that embraces diversity.

We are committed to providing an environment free of unfair discrimination and harassment.

We do not discriminate based on age, race, color, sex, religion, national origin, disability, pregnancy, marital status, sexual orientation, gender reassignment, veteran status, or other protected category.