Senior DevOps & Data Engineer – AWS Data Platform

Experis Argentina

Buenos Aires

Híbrido

ARS 139.086.000 - 231.811.000

Jornada completa

Hace 2 días
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Ventajas ofrecidas por este puesto de trabajo

Competitive compensation
Comprehensive benefits
Flexible work environment
Career growth opportunities

Descripción de la vacante

Proofpoint is seeking a Senior DevOps and Data Engineer to join our Data Platform team. This hybrid role sits at the intersection of platform engineering and data infrastructure—you will own the reliability, automation, and delivery of the systems that power Proofpoint's data pipelines and analytics capabilities.

You will build and maintain the cloud infrastructure (AWS-first), CI/CD pipelines, and DevOps tooling that enable data engineering teams to ship high-quality data products faster and

Formación

  • 5+ years in DevOps/platform engineering or SRE.
  • At least 2 years of hands-on data engineering.
  • Deep expertise with AWS core services (S3, IAM, VPC, CloudWatch).

Responsabilidades

  • Design and maintain CI/CD pipelines for AWS Glue ETL jobs and related data infra.
  • Own cloud infrastructure on AWS using IaC (Terraform / CDK).
  • Build observability stack with metrics, logs and alerts.
  • Lead incident response for data platform outages.
  • Mentor junior engineers and conduct reviews.

Conocimientos

DevOps
Platform engineering
Site reliability engineering
Data engineering
CI/CD
Communication

Herramientas

Terraform
AWS CDK
GitHub Actions
Jenkins
GitLab CI
Docker
ECS
EKS
Kubernetes
Apache Airflow / MWAA
AWS Glue
Athena
S3
Secrets Manager
CloudFormation
CDK

Descripción del empleo

Proofpoint is seeking a Senior DevOps and Data Engineer to join our Data Platform team. This hybrid role sits at the intersection of platform engineering and data infrastructure—you will own the reliability, automation, and delivery of the systems that power Proofpoint's data pipelines and analytics capabilities.

You will build and maintain the cloud infrastructure (AWS-first), CI/CD pipelines, and DevOps tooling that enable data engineering teams to ship high-quality data products faster and

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