Senior Data Platform & DevOps Lead — Remote LATAM

Business Commercial Management Srl

Buenos Aires

Ibrido

ARS 139.086.000 - 200.903.000

Tempo pieno

3 giorni fa
Candidati tra i primi

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Vantaggi offerti da questo lavoro

Competitive compensation
Comprehensive benefits
Flexible work environment

Descrizione del lavoro

Proofpoint is seeking a Senior DevOps and Data Engineer to join our Data Platform team in a hybrid role. You will own the reliability, automation, and delivery of data pipelines and analytics infrastructure on AWS, building CI/CD for Glue ETL jobs, managing Terraform/CDK-based resources, and improving observability across data products.

You will collaborate with data engineers, scientists, and security teams to scale production-grade pipelines, implement best-practice security, and mentor junior

Competenze

  • 5+ years of DevOps/platform engineering or SRE experience, with data engineering exposure.
  • Strong knowledge of AWS core services (S3, IAM, VPC, CloudWatch, Lambda, ECS/EKS).
  • Experience with IaC tools (Terraform and/or CDK) and CI/CD systems.

Mansioni

  • Design and maintain CI/CD pipelines for AWS Glue ETL jobs and data pipelines.
  • Build and manage AWS infrastructure using IaC (Terraform / CDK).
  • Own observability stack for data pipelines with metrics, logs, and alerts.
  • Develop self-service DataOps tooling and reusable templates.
  • Lead incident response for data platform outages and drive post-mortems.

Conoscenze

Strong communication skills
Team collaboration
Problem solving

Strumenti

AWS Glue
Athena
S3
Terraform
AWS CDK
Docker
ECS / EKS
Kubernetes
MWAA / Airflow
GitHub Actions
Jenkins
GitLab CI
Datadog / CloudWatch
Secrets Manager
IAM / Security

Descrizione del lavoro

Proofpoint is seeking a Senior DevOps and Data Engineer to join our Data Platform team in a hybrid role. You will own the reliability, automation, and delivery of data pipelines and analytics infrastructure on AWS, building CI/CD for Glue ETL jobs, managing Terraform/CDK-based resources, and improving observability across data products.

You will collaborate with data engineers, scientists, and security teams to scale production-grade pipelines, implement best-practice security, and mentor junior

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