Senior AWS DevOps Engineer - Data Platform (Remote)

Bluelight; Buenos Aires; Híbrido; ARS 139.474.000 - 201.463.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Competitive compensation

Comprehensive benefits

Career success on your terms

Flexible work environment

Annual wellness and community outreach

Always on recognition for your Contrib

Global collaboration and networking

Health insurance (Argentina, Brazil, &

Descripción de la vacante

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 data pipelines, building cloud infrastructure (AWS-first), CI/CD tooling, and data engineering workflows using Glue, Athena, and S3.

You’ll ensure security, scalability, and developer experience across data products. The position requires 5+ years in DevOps/SRE with hands-on data engineering, strong AWS expertise, and IaC experience.

Formación

• 5+ years of professional experience in DevOps, platform engineering, or SRE, with at least 2 years hands-on data engineering.
• Deep expertise with AWS core services: S3, IAM, VPC, CloudWatch, Lambda, ECS/EKS, Secrets Manager, and CloudFormation/CDK.
• Hands-on experience with AWS data services: Glue ETL, Athena, and S3 lifecycle/encryption.
• Proficiency with Infrastructure-as-Code tools—Terraform and/or AWS CDK.
• Strong CI/CD experience: GitHub Actions, Jenkins, GitLab CI, or equivalent.
• Experience with container technologies (Docker) and container orchestration (ECS, EKS, or Kubernetes).

Responsabilidades

• Design, implement, and maintain CI/CD pipelines for automated testing, deployment, and promotion of AWS Glue ETL jobs, Athena views, and related data infrastructure.
• Build and manage cloud infrastructure on AWS using IaC (Terraform and/or AWS CDK).
• Own the observability stack for data pipelines: metrics, logs, and alerts to ensure SLA compliance and fast incident response.
• Develop and maintain DataOps platform self-service tooling, pipeline templates, and shared libraries.
• Manage container and compute infrastructure (Docker, ECS/EKS, or Lambda) 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: secrets management, least-privilege IAM, network segmentation, compliance controls.
• Collaborate with data engineers, data scientists, and security teams to translate requirements into scalable infrastructure solutions.
• Lead incident response for data platform outages: on-call, root-cause analysis, and post-incident improvements.
• Mentor junior engineers on DevOps and data engineering practices; code/design reviews; architecture decision records.

Conocimientos

DevOps

Platform engineering

SRE

AWS

Data engineering

CI/CD

Docker

Kubernetes

Herramientas

Terraform

AWS CDK

GitHub Actions

Jenkins

Kubernetes

GitLab CI

CloudFormation

Descripción del empleo

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 data pipelines, building cloud infrastructure (AWS-first), CI/CD tooling, and data engineering workflows using Glue, Athena, and S3.

You’ll ensure security, scalability, and developer experience across data products. The position requires 5+ years in DevOps/SRE with hands-on data engineering, strong AWS expertise, and IaC experience.