Senior DevOps & Data Engineer – AWS Cloud

Maxit Consulting - Max Corporate Group; Buenos Aires; Ibrido; ARS 139.086.000 - 231.811.000; Tempo pieno

Descrizione del lavoro

Proofpoint in Argentina is seeking a Senior DevOps and Data Engineer to join our Data Platform team. You will own the reliability, automation, and delivery of data pipelines and analytics capabilities.

This hybrid role centers on building cloud infrastructure (AWS-first), CI/CD pipelines, and DevOps tooling that enable data engineers to ship high-quality data products safely. You will design and operate data workflows with AWS Glue, Athena, and S3, improve observability, mentor junior engineers,

Competenze

• 5+ years of professional experience in DevOps, platform engineering, or site reliability engineering, 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 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 (Amazon ECS, EKS, or 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 for both technical and non-technical audiences.

Mansioni

• Design and maintain CI/CD pipelines for AWS Glue ETL jobs and Athena views.
• Build and manage AWS cloud infrastructure with IaC (Terraform / CDK).
• Own observability stack for data pipelines with metrics, logs, and alerts.
• Develop DataOps self-service tooling and templates.
• Manage container and compute infra (Docker, ECS/EKS, Lambda).
• Operate workflow orchestration (MWAA/ Airflow) and upgrades.
• Build and maintain AWS Glue ETL jobs (PySpark) for large-scale data ingestion.
• Drive security practices across the data platform: secrets management, least-privilege IAM, network segmentation.

Conoscenze

DevOps

Data engineering

Cloud infrastructure

CI/CD

Terraform

AWS

Python & PySpark

Airflow

Strumenti

Terraform

AWS CDK

Docker

ECS

EKS

Kubernetes

GitHub Actions

Jenkins

CloudWatch

Datadog

Apache Airflow

MWAA

Descrizione del lavoro

Proofpoint in Argentina is seeking a Senior DevOps and Data Engineer to join our Data Platform team. You will own the reliability, automation, and delivery of data pipelines and analytics capabilities.

This hybrid role centers on building cloud infrastructure (AWS-first), CI/CD pipelines, and DevOps tooling that enable data engineers to ship high-quality data products safely. You will design and operate data workflows with AWS Glue, Athena, and S3, improve observability, mentor junior engineers,