Senior DevOps & Data Platform Engineer (AWS)

Darwoft; Buenos Aires; Ibrido; ARS 2.100.000 - 3.500.000; Tempo pieno

Vantaggi offerti da questo lavoro

Competitive compensation

Comprehensive benefits

Career success on your terms

Flexible work environment

Annual wellness and community outreach

Always on recognition for your contrib

Global collaboration and networking

Descrizione del lavoro

Proofpoint in Córdoba, Argentina is seeking a Senior DevOps and Data Engineer to join our Data Platform team. This hybrid role focuses on reliability, automation, and delivering data pipelines and analytics capabilities.

You will design and manage CI/CD pipelines, build AWS-based infrastructure with IaC, and own observability for data workflows. Collaboration with data engineers, data scientists, and security teams is essential.

Competenze

• 2+ years of professional experience in DevOps, platform engineering, or site-reliability engineering, with at least 2 years of hands-on data engineering work.
• 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).

Mansioni

• Design, implement, and maintain CI/CD pipelines (GitHub Actions, Jenkins, or equivalent) 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 Infrastructure-as-Code (Terraform and/or AWS CDK)—covering S3 buckets, IAM roles, Glue resources, Athena workgroups, Lake Formation permissions, VPCs, and supporting services.
• Own the observability stack for data pipelines: define and instrument metrics, logs, and alerts (CloudWatch, Datadog, or equivalent) to ensure SLA compliance and fast incident response.
• Manage container and compute infrastructure (Docker, ECS/EKS, or Lambda) used to support data ingestion microservices and orchestration workers.
• Build and maintain AWS Glue ETL jobs (PySpark) for large‑scale data ingestion and transformation across the data lake on S3.
• Collaborate with data engineers, data scientists, and security teams to translate requirements into scalable, automated infrastructure solutions.

Strumenti

Docker

ECS/EKS

Kubernetes

GitHub Actions

Jenkins

GitLab CI

Terraform

AWS CDK

AWS Glue

Athena

S3

CloudWatch

IAM

CloudFormation

Descrizione del lavoro

Proofpoint in Córdoba, Argentina is seeking a Senior DevOps and Data Engineer to join our Data Platform team. This hybrid role focuses on reliability, automation, and delivering data pipelines and analytics capabilities.

You will design and manage CI/CD pipelines, build AWS-based infrastructure with IaC, and own observability for data workflows. Collaboration with data engineers, data scientists, and security teams is essential.