Senior SAP Fiori/UI5 & BTP Front-End Engineer

Maxit Consulting - Max Corporate Group; Buenos Aires; Hybrid; ARS 2,400,000 - 4,200,000; Full time

Job summary

Proofpoint is seeking a Senior DevOps and Data Engineer to join our Data Platform team. This hybrid role covers platform engineering and data infrastructure, focusing on reliability, automation, and the delivery of data pipelines and analytics capabilities in an AWS-first environment.

You will design and operate CI/CD, manage AWS resources, and contribute to securing and scaling data workflows while mentoring teammates and driving improvements across the data platform.

Qualifications

• 5+ years in DevOps or platform engineering, with at least 2 years data engineering.
• Deep AWS core services expertise.
• Hands-on with AWS Glue, Athena, and S3.
• Proficiency with Infrastructure-as-Code tools - Terraform and/or AWS CDK.

Responsibilities

• Design, implement, and maintain CI/CD pipelines for data infrastructure and ETL jobs.
• Build and manage AWS cloud infrastructure (S3, IAM, VPC, Glue, Athena) using IaC.
• Own observability for data pipelines with metrics, logs, and alerts.
• Develop self-service DataOps tooling and reusable pipeline templates.
• Manage container compute infra (Docker, ECS/EKS, Lambda) to support data services.
• Lead incident response for data platform outages and mentor junior engineers.

Skills

AWS

CI/CD

Docker

Kubernetes

Data pipelines

Airflow

Glue

Athena

Terraform

CDK

GitHub Actions

Jenkins

Tools

Terraform

AWS CDK

Docker

Kubernetes

GitHub Actions

Jenkins

Job description

Proofpoint is seeking a Senior DevOps and Data Engineer to join our Data Platform team. This hybrid role covers platform engineering and data infrastructure, focusing on reliability, automation, and the delivery of data pipelines and analytics capabilities in an AWS-first environment.

You will design and operate CI/CD, manage AWS resources, and contribute to securing and scaling data workflows while mentoring teammates and driving improvements across the data platform.