Senior LatAm Data Platform Engineer

Agileengine, Llc.; Buenos Aires; Hybrid; ARS 3,000,000 - 6,000,000; Full time

Benefits offered by this job

Competitive pay

Flexible work environment

Wellness days

Career growth

Job summary

Proofpoint in Córdoba, Argentina, is seeking a Senior DevOps and Data Engineer to join the Data Platform team. The role blends platform engineering with data infrastructure, focusing on reliability, automation, and building scalable data pipelines in an AWS-first environment.

You will own CI/CD pipelines, IaC, and observability while enabling data engineers to ship high-quality data products safely. A strong emphasis on collaboration and security is expected.

Qualifications

• 5+ years of professional experience in DevOps, platform engineering, or SRE, with at least 2 years in data engineering.
• 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, Athena, and S3 lifecycle/encryption.

Responsibilities

• Design, implement, and maintain CI/CD pipelines for automated testing, deployment, and promotion of AWS Glue ETL jobs and related data infra.
• Build and manage cloud infrastructure on AWS using IaC (Terraform and/or AWS CDK).
• Own observability stack: metrics, logs, alerts to ensure SLA and fast incident response.
• Develop and maintain self-service DataOps tooling and templates for pipelines.
• Lead incident response for data platform outages and perform post-mortems.

Skills

DevOps

Platform engineering

Data engineering

AWS

CI/CD

GitHub Actions

Jenkins

Terraform

AWS CDK

Docker

Kubernetes

ECS/EKS

Airflow

MWAA

Glue

Athena

S3

IAM

CloudWatch

Security

Tools

Terraform

AWS CDK

Terraform/AWS CDK

GitHub Actions

Jenkins

Docker

Kubernetes

Job description

Proofpoint in Córdoba, Argentina, is seeking a Senior DevOps and Data Engineer to join the Data Platform team. The role blends platform engineering with data infrastructure, focusing on reliability, automation, and building scalable data pipelines in an AWS-first environment.

You will own CI/CD pipelines, IaC, and observability while enabling data engineers to ship high-quality data products safely. A strong emphasis on collaboration and security is expected.