Senior DevOps & Data Platform Engineer

Lulo Bank; Buenos Aires; Hybride; ARS 184 482 000 - 276 723 000; Plein temps

Résumé du poste

Proofpoint is seeking a Senior DevOps and Data Engineer to join our Data Platform team in a hybrid role. You will own the reliability, automation, and delivery of data pipelines and analytics capabilities.

This role focuses on building cloud infrastructure (AWS-first), CI/CD pipelines, and DevOps tooling that empower data engineering teams to ship high-quality data products faster and more safely. You will design and operate data workflows using AWS Glue, Athena, and S3, bringing a strong

Qualifications

• Experience building and operating data pipelines in cloud environments.
• Ability to design, implement, and maintain CI/CD pipelines for data infrastructure.
• Strong automation mindset and focus on reliability, observability, and developer experience.

Responsabilités

• Design, implement, and maintain CI/CD pipelines for AWS Glue ETL jobs and related data infrastructure.
• Build and manage AWS cloud infrastructure using IaC (Terraform and/or AWS CDK).
• Own the observability stack for data pipelines with metrics, logs, and alerts.
• Develop and maintain DataOps self-service tooling and templates.
• Manage container and compute infra (Docker, ECS/EKS, or Lambda) for data ingestion services.
• Design and operate workflow orchestration environments (MWAA/Apache Airflow, Step Functions).

Outils

GitHub Actions

Jenkins

Terraform

AWS CDK

AWS Glue

Athena

S3

Docker

ECS/EKS

Airflow

MWAA

Step Functions

CloudWatch

Datadog

Description du poste

Proofpoint is seeking a Senior DevOps and Data Engineer to join our Data Platform team in a hybrid role. You will own the reliability, automation, and delivery of data pipelines and analytics capabilities.

This role focuses on building cloud infrastructure (AWS-first), CI/CD pipelines, and DevOps tooling that empower data engineering teams to ship high-quality data products faster and more safely. You will design and operate data workflows using AWS Glue, Athena, and S3, bringing a strong