Senior Cloud DevOps Engineer - AWS, K8s, CI/CD Hybrid

Apply; Buenos Aires; Hybrid; ARS 1,900,000 - 2,300,000; Full time

Benefits offered by this job

Competitive compensation

Comprehensive benefits

Flexible work environment

Job summary

Proofpoint seeks a Senior DevOps and Data Engineer to join the Data Platform team in a hybrid role. You will own reliability, automation, and delivery of data pipelines and analytics capabilities on an AWS-first stack, building data infrastructure, CI/CD pipelines, and development tooling.

You will collaborate with data engineers, data scientists, and security teams to design scalable solutions, drive security best practices, and mentor junior engineers in DevOps and data engineering.

Qualifications

• 5+ years of professional experience in DevOps, platform engineering, or site reliability engineering, with at least 2 years of hands-on data engineering work.
• Deep expertise with AWS core services: S3, IAM, VPC, CloudWatch, Lambda, ECS/EKS, Secrets Manager, and CloudFormation/CDK.
• Hands-on experience with AWS data services: Glue, Athena, and S3 lifecycle, encryption, events.

Responsibilities

• Design, implement, and maintain CI/CD pipelines for automated testing, deployment, and promotion of AWS Glue ETL jobs, Athena views, and related data infrastructure.
• Build and manage cloud infrastructure on AWS using Infrastructure-as-Code (Terraform and/or AWS CDK).
• Own the observability stack for data pipelines: metrics, logs, and alerts to ensure SLA compliance and fast incident response.
• Develop and maintain the DataOps platform self-service tooling and reusable templates.
• Lead incident response for data platform outages and mentor junior engineers.

Skills

DevOps

Data engineering

Site reliability

CI/CD

Cloud security

Tools

AWS Glue

Terraform

AWS CDK

GitHub Actions

Jenkins

Docker

Kubernetes

Job description

Proofpoint seeks a Senior DevOps and Data Engineer to join the Data Platform team in a hybrid role. You will own reliability, automation, and delivery of data pipelines and analytics capabilities on an AWS-first stack, building data infrastructure, CI/CD pipelines, and development tooling.

You will collaborate with data engineers, data scientists, and security teams to design scalable solutions, drive security best practices, and mentor junior engineers in DevOps and data engineering.