Senior DevOps & Data Engineer - Hybrid (AWS)

Selection Book; Buenos Aires; Híbrido; ARS 3.000.000 - 5.000.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Competitive compensation

Comprehensive benefits

Flexible work environment

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 reliability, automation, and delivery for data pipelines and analytics capabilities, building cloud infrastructure and DevOps tooling to ship high-quality data products safely. You will design and operate data pipelines with AWS Glue, Athena, and S3, and contribute to the data platform's observability,

Formación

• 5+ years of professional experience in DevOps, platform engineering, or SRE with at least 2 years in data engineering.
• 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.

Responsabilidades

• Design, implement, and maintain CI/CD pipelines for automated testing, deployment, and promotion of AWS Glue ETL jobs and related data infrastructure.
• Build and manage cloud infrastructure on AWS using IaC (Terraform and/or AWS CDK).
• Own the observability stack for data pipelines with metrics, logs, and alerts.

Conocimientos

CI/CD pipelines

AWS core services

Data engineering

Observability systems

Container orchestration

Herramientas

GitHub Actions

Jenkins

Terraform

AWS CDK

Docker

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 reliability, automation, and delivery for data pipelines and analytics capabilities, building cloud infrastructure and DevOps tooling to ship high-quality data products safely. You will design and operate data pipelines with AWS Glue, Athena, and S3, and contribute to the data platform's observability,