DevOps y Data Engineer - AWS & ETL (Remoto)

Maxit Consulting - Max Corporate Group; Buenos Aires; Híbrido; ARS 108.178.000 - 169.994.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Competitive compensation

Comprehensive benefits

Career success on your terms

Flexible work environment

Annual wellness days

Global collaboration opportunities

Descripción de la vacante

Proofpoint is seeking a Senior DevOps and Data Engineer to join our Data Platform team. This hybrid role will own reliability, automation, and delivery of data pipelines and analytics, building cloud infrastructure (AWS-first), CI/CD pipelines, and DevOps tooling to empower data engineers to ship data products safely.

You'll design and operate data pipelines with AWS Glue, Athena, and S3, while focusing on security, observability, and developer experience.

Formación

• 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
• 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.

Responsabilidades

• Design, implement, and maintain CI/CD pipelines for automated testing, deployment, and promotion of AWS Glue ETL jobs and related data infrastructure.
• Build and manage AWS infrastructure using IaC tools (Terraform / CDK) including S3, IAM, Glue, and VPCs.
• 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 and reusable templates for production-grade pipelines.
• Manage container and compute infrastructure 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 on S3.
• Drive security practices across the data platform: secrets management, least-privilege IAM, network segmentation.
• Collaborate with data engineers, data scientists, and security teams to translate requirements into scalable infrastructure.
• Lead incident response for data platform outages: on-call, root-cause analysis, and post-mortems.

Conocimientos

AWS expertise

CI/CD pipelines

Observability design

Data engineering

Communication skills

Herramientas

GitHub Actions

Jenkins

Terraform

AWS CDK

Descripción del empleo

Proofpoint is seeking a Senior DevOps and Data Engineer to join our Data Platform team. This hybrid role will own reliability, automation, and delivery of data pipelines and analytics, building cloud infrastructure (AWS-first), CI/CD pipelines, and DevOps tooling to empower data engineers to ship data products safely.

You'll design and operate data pipelines with AWS Glue, Athena, and S3, while focusing on security, observability, and developer experience.