Senior AWS DevOps & Data Engineer

Fullstack; Buenos Aires; Hybrid; ARS 1,800,000 - 3,200,000; Full time

Benefits offered by this job

Competitive compensation

Comprehensive benefits

Flexible work environment

Wellness days

Global collaboration

Job summary

Proofpoint is 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.

You will craft cloud infrastructure (AWS-first), CI/CD pipelines, and DevOps tooling to empower data engineers in shipping high‑quality data products efficiently. You’ll design and maintain pipelines, manage AWS resources, and own the observability stack to ensure SLA compliance and quick incident

Qualifications

• 2+ years of DevOps and data engineering work.
• Hands-on experience with AWS services including S3, IAM, VPC, CloudWatch.
• Proficiency with Infrastructure-as-Code tools such as Terraform or CDK.
• Experience with container tech and orchestration (Docker, ECS/EKS, Kubernetes).

Responsibilities

• Design, implement, and maintain CI/CD pipelines for data infra.
• Build and manage AWS-based infrastructure using IaC.
• Own observability stack: metrics, logs, alerts for data pipelines.
• Manage data ingestion containers and orchestration workers.
• Develop AWS Glue ETL jobs for large-scale data transformation.
• Collaborate with data teams to translate requirements into scalable infra solutions.

Skills

DevOps experience

Data engineering

Cloud computing

Tools

AWS core services

Glue/Athena

Terraform / CDK

Docker

ECS/EKS/Kubernetes

CI/CD tooling

Job description

Proofpoint is 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.

You will craft cloud infrastructure (AWS-first), CI/CD pipelines, and DevOps tooling to empower data engineers in shipping high‑quality data products efficiently. You’ll design and maintain pipelines, manage AWS resources, and own the observability stack to ensure SLA compliance and quick incident