DevOps Engineer: Cloud, CI/CD & Automation Expert

Proofpoint; Argentina; On-site; ARS 136,428,000 - 197,062,000; Full time

Job summary

Proofpoint is seeking a curious and self-motivated DevOps Engineer to design, operate, and scale modern cloud infrastructure. You’ll own CI/CD pipelines, reliability, security, and compliance, working across platforms and teams to keep systems resilient and fast.

The role requires hands-on experience with at least one cloud platform (AWS, GCP, Azure), Terraform, Kubernetes, and coding in Go, Python, or JavaScript, plus a passion for automation and proactive monitoring.

Qualifications

• Experience in AI driven development & debugging.
• 5+ years in DevOps / SRE (or similar software engineering experience).
• Strong hands-on experience with Infrastructure as Code.
• Solid understanding of AWS services (or other clouds).
• Experience building CI/CD pipelines from scratch or supporting existing ones.
• Familiarity with monitoring tools (Prometheus, Grafana, CloudWatch, Datadog).
• Programming in Go, Python, or JavaScript.

Responsibilities

• Design, implement, and maintain secure, scalable, and highly available infrastructure on AWS (and other cloud providers).
• Build and manage infrastructure as code using Terraform.
• Develop and optimize CI/CD pipelines.
• Implement and maintain logging, monitoring, and alerting solutions.
• Drive automation across build, deployment, and operational tasks.
• Maintain security standards of infrastructure (containers, dependencies, firewalls, service meshes).
• Participation in on-call rotations (primarily during daytime).

Skills

AI driven development

Go/Python/JavaScript

Networking & security

CI/CD pipelines

On-call rotations

Tools

Terraform

AWS

Kubernetes

Monitoring tools

Job description

Proofpoint is seeking a curious and self-motivated DevOps Engineer to design, operate, and scale modern cloud infrastructure. You’ll own CI/CD pipelines, reliability, security, and compliance, working across platforms and teams to keep systems resilient and fast.

The role requires hands-on experience with at least one cloud platform (AWS, GCP, Azure), Terraform, Kubernetes, and coding in Go, Python, or JavaScript, plus a passion for automation and proactive monitoring.