Senior DevOps & Data Engineer – AWS Data Platform

Maxit Consulting - Max Corporate Group; Buenos Aires; Híbrido; ARS 185.448.000 - 278.173.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Competitive compensation

Flexible work environment

Global collaboration

Descripción de la vacante

Proofpoint is seeking a Senior DevOps and Data Engineer to join the Data Platform team. This hybrid role combines platform engineering and data infrastructure to ensure reliable, scalable data pipelines and analytics capabilities.

You will own cloud infrastructure (AWS-first), CI/CD tooling, and DataOps self-service tooling, enabling data engineering teams to ship high-quality data products safely and quickly.

Formación

• 5+ years in DevOps/platform engineering or SRE.
• Deep expertise with AWS core services (S3, IAM, VPC, CloudWatch).
• Hands-on with AWS data services: Glue, Athena, S3.
• Proficiency with IaC: Terraform and/or CDK.
• Strong CI/CD experience and container orchestration.
• Clear communication and ability to mentor teammates.

Responsabilidades

• Design, implement, and maintain CI/CD pipelines for AWS Glue ETL jobs and related data infra.
• Build and manage AWS cloud infra with IaC (Terraform/CDK).
• Own observability stack: metrics, logs, alerts for SLA compliance.
• Develop DataOps self-service tooling and reusable pipeline templates.
• Manage container infrastructure (Docker, ECS/EKS/Lambda).
• Operate MWAA/Airflow workflows and data orchestration.
• Drive security practices across data platform and IAM.
• Collaborate with data teams to translate requirements into scalable infra.
• Lead incident response and post-mortems.

Conocimientos

DevOps

Platform engineering

Site reliability

AWS mastery

CI/CD

Docker

Kubernetes

Observability

Communication

Mentorship

Herramientas

AWS

S3

IAM

VPC

Glue

Athena

ECS/EKS

CloudFormation

CDK

Terraform

Descripción del empleo

Proofpoint is seeking a Senior DevOps and Data Engineer to join the Data Platform team. This hybrid role combines platform engineering and data infrastructure to ensure reliable, scalable data pipelines and analytics capabilities.

You will own cloud infrastructure (AWS-first), CI/CD tooling, and DataOps self-service tooling, enabling data engineering teams to ship high-quality data products safely and quickly.