Senior DevOps & Data Engineer — AWS Data Platform

Open Technology Group; Buenos Aires; Híbrido; ARS 2.000.000 - 3.200.000; 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 sits at the intersection of platform engineering and data infrastructure—you will own the reliability, automation, and delivery of the systems that power Proofpoint's data pipelines and analytics capabilities.

You will build and maintain the cloud infrastructure (AWS-first), CI/CD pipelines, and DevOps tooling that enable data engineering teams to ship high-quality data products faster and

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—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 technical and non-technical audiences.

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).
• 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, pipeline templates, and shared libraries.
• Manage container and compute infrastructure (Docker, ECS/EKS, or Lambda) for data ingestion microservices and orchestration workers.
• Design and operate workflow orchestration environments (MWAA / Apache Airflow, AWS Step Functions).
• Build and maintain AWS Glue ETL jobs (PySpark) for large-scale data ingestion and transformation on S3-based data lake.
• 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/design reviews.

Conocimientos

5+ years DevOps/SRE

AWS core services

Terraform / CDK

CI/CD pipelines

Docker / ECS / EKS

Observability systems

Strong communicator

Herramientas

Terraform

AWS CDK

GitHub Actions

Jenkins

Kubernetes

MWAA

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—you will own the reliability, automation, and delivery of the systems that power Proofpoint's data pipelines and analytics capabilities.

You will build and maintain the cloud infrastructure (AWS-first), CI/CD pipelines, and DevOps tooling that enable data engineering teams to ship high-quality data products faster and