Senior AWS Data & DevOps Engineer

Oowlish; Buenos Aires; Hybrid; ARS 139,086,000 - 200,903,000; Full time

Benefits offered by this job

Competitive compensation

Comprehensive benefits

Flexible work environment

Job summary

Proofpoint is a global leader in cybersecurity, seeking a Senior DevOps and Data Engineer to join the Data Platform team. This hybrid role focuses on reliability, automation, and delivery of data pipelines and analytics capabilities, building cloud infrastructure (AWS-first), CI/CD pipelines, and DevOps tooling to empower data teams.

You will own the observability stack, manage containerized data services, and collaborate with data engineers, scientists, and security to translate requirements

Qualifications

• 2+ years of DevOps/platform engineering or SRE with data engineering work.
• Experience with AWS core services: S3, IAM, VPC, CloudWatch, Lambda, ECS/EKS.
• Proficiency with Infrastructure‑as‑Code tools (Terraform and/or AWS CDK).
• Strong CI/CD experience with GitHub Actions, Jenkins, GitLab CI, or similar.
• Experience with Docker and container orchestration (ECS/EKS/Kubernetes).
• Hands-on experience with AWS data services: Glue, Athena, S3 lifecycle and security features.

Responsibilities

• Design, build, and maintain CI/CD pipelines for data infrastructure.
• Manage AWS cloud infrastructure using IaC (Terraform/AWS CDK).
• Own observability for data pipelines with metrics, logs, and alerts.
• Operate container and compute infrastructure for data ingestion services.
• Develop and maintain AWS Glue ETL jobs in PySpark for large-scale data ingestion.
• Collaborate with data engineers, data scientists, and security teams.

Skills

AWS core services

Terraform

AWS CDK

GitHub Actions

CI/CD pipelines

Docker

Kubernetes

PySpark

Data pipelines

Tools

Terraform

AWS CDK

CloudFormation

Job description

Proofpoint is a global leader in cybersecurity, seeking a Senior DevOps and Data Engineer to join the Data Platform team. This hybrid role focuses on reliability, automation, and delivery of data pipelines and analytics capabilities, building cloud infrastructure (AWS-first), CI/CD pipelines, and DevOps tooling to empower data teams.

You will own the observability stack, manage containerized data services, and collaborate with data engineers, scientists, and security to translate requirements