Ingeniero DevOps Senior – Plataforma de Datos en AWS

Antamina; Buenos Aires; Híbrido; ARS 185.448.000 - 247.265.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Flexible work environment

Competitive compensation

Global collaboration

Descripción de la vacante

Proofpoint seeks a Senior DevOps and Data Engineer to join the Data Platform team. This hybrid role powers the reliability, automation, and delivery of data pipelines and analytics across AWS Glue, Athena, and S3.

You will build cloud infrastructure (AWS-first) and DevOps tooling to enable data engineers to ship high-quality data products faster and more safely. You will own the observability stack, contribute to DataOps tooling, and lead incident response for data platform outages.

Formación

• 5+ years in DevOps or site reliability, with at least 2 years of data engineering work.
• 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 jobs, Crawlers, Data Catalog), Athena (workgroup management, query tuning, federated queries), and S3 (lifecycle, encryption, event notifications).
• Proficiency with Infrastructure-as-Code tools—Terraform and/or AWS CDK—for managing production cloud environments.
• Strong CI/CD experience: designing and maintaining pipelines in GitHub Actions, Jenkins, GitLab CI, or equivalent.
• Experience with container technologies (Docker) and container orchestration (ECS/EKS/Kubernetes).
• Proven ability to design and operate observability systems (metrics, logging, distributed tracing, alerting) for data and platform services.
• Strong communication skills, able to translate operational concerns into clear engineering trade-offs.

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) covering S3, IAM, Glue, Athena, VPCs, and more.
• Own the observability stack for data pipelines with metrics, logs, and alerts to ensure SLA compliance and fast incident response.
• Develop and maintain the DataOps platform, self-service tooling, and reusable pipeline templates for production-grade data workflows.
• 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) including upgrades and reliability hardening.
• Build and maintain AWS Glue ETL jobs (PySpark) for large-scale data ingestion and transformation across the data lake on S3.
• Drive security best practices across the data platform: secrets management, least-privilege IAM, network segmentation, and 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-mortem improvements.
• Mentor junior engineers on DevOps and data engineering practices; conduct reviews and contribute to architecture decisions.

Conocimientos

DevOps experience

Cloud infrastructure

CI/CD pipelines

Data engineering collaboration

Herramientas

Terraform

AWS CDK

GitHub Actions

Jenkins

Docker

ECS/EKS

Kubernetes

Airflow/MWAA

Glue

Athena

S3

CloudFormation

Descripción del empleo

Proofpoint seeks a Senior DevOps and Data Engineer to join the Data Platform team. This hybrid role powers the reliability, automation, and delivery of data pipelines and analytics across AWS Glue, Athena, and S3.

You will build cloud infrastructure (AWS-first) and DevOps tooling to enable data engineers to ship high-quality data products faster and more safely. You will own the observability stack, contribute to DataOps tooling, and lead incident response for data platform outages.