Senior DevOps & Data Engineer — AWS, Glue & Airflow

Paired; Buenos Aires; Hybrid; ARS 139,086,000 - 231,811,000; Full time

Benefits offered by this job

Competitive compensation

Comprehensive benefits

Flexible work environment

Job summary

Proofpoint seeks a Senior DevOps and Data Engineer to join the Data Platform team in a hybrid role. You will own reliability, automation, and delivery of systems powering Proofpoint's data pipelines and analytics capabilities, building cloud infrastructure on AWS and enabling rapid data product delivery.

You will craft and operate CI/CD pipelines, manage infrastructure via IaC, and ensure security and observability across data workflows, collaborating with engineers, scientists, and security

Qualifications

• 5+ years of professional DevOps or SRE experience, with at least 2 years in data engineering.
• Deep AWS expertise: S3, IAM, VPC, CloudWatch, Lambda, ECS/EKS.
• Experience with Terraform and/or AWS CDK for IaC.
• Strong CI/CD through GitHub Actions, Jenkins, or GitLab CI.
• Experience with Docker and container orchestration (ECS/EKS/Kubernetes).
• Proven ability to design observability systems for data/platform services.
• Strong communication skills for technical and non-technical audiences.

Responsibilities

• Design, implement, and maintain CI/CD pipelines for AWS Glue ETL jobs, Athena views, and related data infrastructure.
• Build and manage AWS infrastructure via IaC (Terraform / CDK) covering S3, IAM, Glue, Athena, Lake Formation, VPCs, and services.
• Own the observability stack for data pipelines with metrics, logs, and alerts.
• Develop and maintain the DataOps self-service tooling and shared libraries.
• Manage container and compute infrastructure used to support data ingestion microservices and orchestration workers.
• Design and operate workflow orchestration environments (MWAA / Airflow / Step Functions).
• Build and maintain AWS Glue ETL jobs (PySpark) for large-scale data ingestion and transformation.
• Drive security best practices across the data platform (secrets, least-privilege IAM, network segmentation).
• Collaborate with data engineers, data scientists, and security teams to translate requirements into scalable infrastructure solutions.
• Lead incident response for data platform outages and perform post-mortems.

Skills

DevOps experience 5+

Data engineering

AWS core services

CI/CD pipelines

Docker & Kubernetes

Observability

Communication

Tools

Terraform

AWS CDK

Job description

Proofpoint seeks a Senior DevOps and Data Engineer to join the Data Platform team in a hybrid role. You will own reliability, automation, and delivery of systems powering Proofpoint's data pipelines and analytics capabilities, building cloud infrastructure on AWS and enabling rapid data product delivery.

You will craft and operate CI/CD pipelines, manage infrastructure via IaC, and ensure security and observability across data workflows, collaborating with engineers, scientists, and security