Senior Data Platform & DevOps Engineer — AWS

Maxit Consulting - Max Corporate Group; Buenos Aires; Híbrido; ARS 139.086.000 - 200.903.000; Jornada completa

Descripción de la vacante

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

You'll own CI/CD pipelines, build cloud infrastructure with IaC, and shape observability for data workloads. Collaboration with data engineers, scientists, and security teams is essential to scale production-grade pipelines and ensure security best practices.

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 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 cloud infrastructure on AWS using IaC (Terraform and/or CDK).
• Own the observability stack for data pipelines with metrics, logs, and alerts.
• Develop and maintain self-service DataOps tooling and templates.
• Manage container and compute infrastructure (Docker, ECS/EKS, Lambda) to support data ingestion services.
• Design and operate workflow orchestration environments (MWAA/Airflow, Step Functions).
• Lead incident response for data platform outages and perform post-mortems.
• Mentor junior engineers on DevOps and data engineering practices.

Conocimientos

Cloud data engineering

CI/CD

Observability

Communication

Mentoring

Security

Herramientas

AWS (S3, IAM, VPC)

Glue/Athena

Terraform

AWS CDK

GitHub Actions/Jenkins

Docker

Kubernetes/ECS/EKS

Apache Airflow / MWAA

Descripción del empleo

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

You'll own CI/CD pipelines, build cloud infrastructure with IaC, and shape observability for data workloads. Collaboration with data engineers, scientists, and security teams is essential to scale production-grade pipelines and ensure security best practices.