Senior ML Ops Engineer: AI-Driven Cloud Reliability

Kavak; Buenos Aires; Remote; ARS 90,873,000 - 166,601,000; Full time

Job summary

Proofpoint seeks a proactive Machine Learning Analyst with strong DevOps/SRE skills to design, build, and operate scalable cloud infrastructure and CI/CD pipelines across AWS and other providers. The role emphasizes automation, security, and reliability in a remote LATAM environment.

You will join a global team, work on modern cloud native platforms, and contribute to logging, monitoring, and security best practices while supporting on-call rotations and infrastructure improvements.

Qualifications

• 5+ years of professional experience in DevOps/SRE.
• Strong hands-on experience with Infrastructure as Code.
• Solid understanding of AWS services.
• Experience building CI/CD pipelines from scratch.
• Familiarity with monitoring tools (Prometheus, Grafana, CloudWatch, Datadog).
• Programming skills in Go, JavaScript, or Python.
• Networking and security best practices.

Responsibilities

• Design, build, and manage scalable, secure cloud infrastructure on AWS.
• Develop and maintain CI/CD pipelines.
• Implement logging, monitoring, and alerting solutions.
• Ensure compliance with security policies and governance.
• Participate in on-call rotations.

Skills

AI driven development

DevOps/SRE experience

Infrastructure as code

AWS

CI/CD pipelines

Monitoring tools

Go/Python/JS

Networking & security

Tools

Terraform

Kubernetes

Docker

CloudWatch

Job description

Proofpoint seeks a proactive Machine Learning Analyst with strong DevOps/SRE skills to design, build, and operate scalable cloud infrastructure and CI/CD pipelines across AWS and other providers. The role emphasizes automation, security, and reliability in a remote LATAM environment.

You will join a global team, work on modern cloud native platforms, and contribute to logging, monitoring, and security best practices while supporting on-call rotations and infrastructure improvements.