Senior DevOps & Data Platform Engineer

Unavailable; Buenos Aires; Híbrido; ARS 139.086.000 - 200.903.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Competitive compensation

Comprehensive benefits

Flexible work environment

Annual wellness and community outreach

Global collaboration and networking

Descripción de la vacante

Proofpoint is seeking a Senior DevOps and Data Engineer to join our Data Platform team. This hybrid role focuses on reliability, automation, and delivery of data pipelines and analytics capabilities across AWS-first infrastructure.

You will build and maintain CI/CD pipelines, IaC, and observability for data infrastructure to accelerate data engineering efforts. You will own the AWS data stack (Glue, Athena, S3) and collaborate with data scientists, security, and engineering teams to implement

Formación

• 5+ years of professional experience in DevOps, platform engineering, or SRE, with at least 2 years of hands-on 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 IaC 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.

Responsabilidades

• Design 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 buckets, IAM roles, Glue resources, Athena workgroups, Lake Formation permissions, VPCs, and supporting services.
• Own the observability stack for data pipelines: define and instrument metrics, logs, and alerts to ensure SLA compliance and fast incident response.
• Develop and maintain the DataOps platform self-service tooling, pipeline templates, and shared libraries that allow data engineers to spin up production-grade pipelines quickly.
• 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 (Amazon MWAA / Apache Airflow, AWS Step Functions) including upgrades, scaling, 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, automated infrastructure solutions.
• Lead incident response for data platform outages: on-call participation, root-cause analysis, and post-mortem-driven improvements.
• Mentor junior engineers on DevOps and data engineering practices, conduct code and design reviews, and contribute to architecture decision records.

Conocimientos

Communication

Cloud experience

Collaboration

Herramientas

Terraform

AWS CDK

GitHub Actions

Jenkins

GitLab CI

Docker

ECS

EKS

Kubernetes

CloudFormation

CDK

Descripción del empleo

Proofpoint is seeking a Senior DevOps and Data Engineer to join our Data Platform team. This hybrid role focuses on reliability, automation, and delivery of data pipelines and analytics capabilities across AWS-first infrastructure.

You will build and maintain CI/CD pipelines, IaC, and observability for data infrastructure to accelerate data engineering efforts. You will own the AWS data stack (Glue, Athena, S3) and collaborate with data scientists, security, and engineering teams to implement