Ingeniero Senior de Data Platform y DevOps en AWS

C&S Informática; Buenos Aires; Híbrido; ARS 185.448.000 - 278.173.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Competitive compensation

Comprehensive benefits

Flexible work environment

Annual wellness days

Recognition program

Descripción de la vacante

Proofpoint is seeking a Senior DevOps and Data Engineer to join our Data Platform team in a hybrid capacity. You will own reliability, automation, and delivery of data pipelines and analytics infrastructure on AWS, building and maintaining CI/CD, IaC, and DataOps tooling to accelerate production workflows.

You will work across Glue, Athena, and S3, implement observability, and mentor engineers while collaborating with data scientists and security teams to ensure scalable, secure data solutions.

Formación

• 5+ years of professional experience in DevOps, platform engineering, or SRE, with at least 2 years in data engineering.
• Deep expertise with AWS services: S3, IAM, VPC, CloudWatch, Lambda, ECS/EKS, Secrets Manager, CloudFormation/CDK.
• Hands-on experience with Terraform and/or AWS CDK for managing production cloud environments.
• Strong CI/CD experience with GitHub Actions, Jenkins, GitLab CI, or equivalent.
• Experience with Docker and container orchestration (ECS/EKS/Kubernetes).
• Proven ability to design observability systems (metrics, logs, tracing, alerts) for data/platform services.

Responsabilidades

• Design, implement, and maintain CI/CD pipelines for automated testing and deployment of AWS Glue ETL jobs, Athena views, and related data infrastructure.
• Build and manage AWS cloud infrastructure using IaC (Terraform and/or CDK) covering S3, IAM, Glue, Athena, Lake Formation, VPCs, and supporting services.
• 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, templates, and shared libraries for production-grade pipelines.
• Manage container and compute infrastructure (Docker, ECS/EKS, or Lambda) supporting data ingestion microservices and orchestration workers.
• Operate workflow orchestration environments (MWAA/Airflow, Step Functions) including upgrades and reliability hardening.
• Build and maintain Glue ETL jobs (PySpark) for large-scale data ingestion on S3-based data lake.
• Drive security best practices across the data platform, including Secrets Manager, IAM least-privilege, network segmentation, and compliance controls.
• Collaborate with data engineers, data scientists, and security teams to translate requirements into scalable infrastructure solutions.
• Lead incident response for data platform outages: on-call, root-cause analysis, and post-mortem improvements.
• Mentor junior engineers on DevOps and data engineering; conduct code and design reviews.

Conocimientos

DevOps

Data engineering

Cloud infrastructure

Observability

Mentoring

Security best practices

Educación

AWS Certified DevOps Engineer - Professional

AWS Certified Data Engineer - Associate

Herramientas

Terraform

AWS CDK

GitHub Actions

Jenkins

GitLab CI

Docker

ECS

EKS

Kubernetes

Airflow/MWAA

Lambda

CloudFormation

Descripción del empleo

Proofpoint is seeking a Senior DevOps and Data Engineer to join our Data Platform team in a hybrid capacity. You will own reliability, automation, and delivery of data pipelines and analytics infrastructure on AWS, building and maintaining CI/CD, IaC, and DataOps tooling to accelerate production workflows.

You will work across Glue, Athena, and S3, implement observability, and mentor engineers while collaborating with data scientists and security teams to ensure scalable, secure data solutions.