Senior Data & DevOps Engineer (LATAM)

Global Rabbits Llc.; Buenos Aires; Ibrido; ARS 1.900.000 - 3.500.000; Tempo pieno

Descrizione del lavoro

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 the systems powering Proofpoint's data pipelines and analytics capabilities.

You'll build and maintain cloud infrastructure (AWS-first), CI/CD pipelines, and DevOps tooling to help data teams ship high-quality data products faster and safer. Collaboration across data and security teams is essential.

Competenze

• 5+ years in DevOps/platform engineering or SRE with at least 2 years in data engineering.
• Deep expertise with AWS core services (S3, IAM, VPC, CloudWatch).
• Hands-on with Glue, Athena, and S3 data workflows.
• Proficiency with IaC tools (Terraform and/or CDK).
• Strong CI/CD experience across GitHub Actions, Jenkins, GitLab CI.

Mansioni

• Design, implement, and maintain CI/CD pipelines for AWS Glue ETL jobs and data infra.
• Build and manage AWS-based data infrastructure (S3, IAM, Glue, Athena, VPC).
• Own observability for data pipelines: metrics, logs, alerts.
• Develop DataOps tooling and reusable templates for data engineers.
• Manage container infra (Docker, ECS/EKS, Lambda) for data ingestion services.
• Operate workflow orchestration (MWAA/Airflow, Step Functions).
• Lead incident response for data platform outages and root-cause analysis.
• Mentor junior engineers on DevOps and data engineering practices.

Conoscenze

AWS

Data Engineering

CI/CD

Terraform

AWS CDK

Docker

Kubernetes

Airflow

Observability

Communication

Strumenti

GitHub Actions

Jenkins

GitLab CI

Descrizione del lavoro

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 the systems powering Proofpoint's data pipelines and analytics capabilities.

You'll build and maintain cloud infrastructure (AWS-first), CI/CD pipelines, and DevOps tooling to help data teams ship high-quality data products faster and safer. Collaboration across data and security teams is essential.