Senior DevOps & Data Engineer – AWS Data Platforms

Maxit Consulting - Max Corporate Group; Buenos Aires; Híbrido; ARS 139.086.000 - 216.357.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Competitive compensation

Comprehensive benefits

Flexible work environment

Descripción de la vacante

Proofpoint is seeking a Senior DevOps and Data Engineer to join our Data Platform team. This hybrid role sits at the intersection of platform engineering and data infrastructure, owning the reliability, automation, and delivery of systems powering Proofpoint's data pipelines and analytics capabilities.

You will design and operate cloud infrastructure on AWS, CI/CD pipelines, and DevOps tooling that enable data engineers to ship high‑quality data products faster and more safely, while

Formación

• 5+ years of professional experience in DevOps, platform engineering, or site reliability engineering.
• Deep expertise with AWS core services (S3, IAM, VPC, CloudWatch, Lambda, ECS/EKS, Secrets Manager).
• Hands-on experience with AWS data services (Glue, Athena, S3).
• Proficiency with Infrastructure-as-Code tools (Terraform and/or AWS CDK).
• Strong CI/CD experience with GitHub Actions, Jenkins, or GitLab CI.
• Experience with Docker and container orchestration (ECS, EKS, or Kubernetes).
• Designing observability systems (metrics, logging, tracing, alerting).
• Strong communication skills to translate operational concerns.

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 Infrastructure-as-Code (Terraform and/or AWS CDK).
• Own the observability stack for data pipelines: define and instrument metrics, logs, and alerts.
• Develop and maintain the 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 (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

DevOps

Platform engineering

Site Reliability Engineering

Data engineering

Cloud infrastructure design

CI/CD pipelines

Communication skills

Herramientas

AWS

Terraform

AWS CDK

GitHub Actions

Jenkins

GitLab CI

Docker

ECS/EKS

Kubernetes

Apache Airflow

MWAA

CloudWatch

Datadog

Secrets Manager

Descripción del empleo

Proofpoint is seeking a Senior DevOps and Data Engineer to join our Data Platform team. This hybrid role sits at the intersection of platform engineering and data infrastructure, owning the reliability, automation, and delivery of systems powering Proofpoint's data pipelines and analytics capabilities.

You will design and operate cloud infrastructure on AWS, CI/CD pipelines, and DevOps tooling that enable data engineers to ship high‑quality data products faster and more safely, while