Senior AI Data Platform DevOps Engineer (Hybrid)

Epam Systems Inc; Buenos Aires; Híbrido; ARS 185.448.000 - 247.265.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Flexible work environment

Wellness days

Global collaboration and networking

Descripción de la vacante

Proofpoint is seeking a Senior DevOps and Data Engineer to join our Data Platform team in a hybrid capacity in Córdoba, Argentina. You will own reliability, automation, and delivery of data pipelines and analytics capabilities while building cloud infrastructure (AWS-first) and CI/CD tooling to enable data teams to ship high-quality data products faster and more safely.

You will design and operate data pipelines with AWS Glue, Athena, and S3, focusing on observability, security, and scalable

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 for data and platform services.
• Strong communication skills—translate operational concerns into clear engineering trade-offs.

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 to ensure SLA compliance.
• Develop and maintain the DataOps platform and reusable tooling for data engineers.
• Manage container and compute infrastructure (Docker, ECS/EKS, or Lambda) for data ingestion microservices.
• Design and operate workflow orchestration environments (MWAA / Airflow, Step Functions) including upgrades and scaling.
• Build and maintain Glue ETL jobs (PySpark) for large-scale data ingestion and transformation.
• Drive security practices across the data platform: Secrets Manager, least-privilege IAM, network segmentation.

Conocimientos

DevOps

Data Engineering

Cloud Infrastructure

CI/CD

Observability

Communication

Herramientas

AWS CDK

Terraform

GitHub Actions

Jenkins

Docker

Kubernetes

Airflow

MWAA

Descripción del empleo

Proofpoint is seeking a Senior DevOps and Data Engineer to join our Data Platform team in a hybrid capacity in Córdoba, Argentina. You will own reliability, automation, and delivery of data pipelines and analytics capabilities while building cloud infrastructure (AWS-first) and CI/CD tooling to enable data teams to ship high-quality data products faster and more safely.

You will design and operate data pipelines with AWS Glue, Athena, and S3, focusing on observability, security, and scalable