Senior DevOps & Data Engineer - AWS Glue + Airflow

Maxit Consulting - Max Corporate Group; Buenos Aires; Hybrid; ARS 139,086,000 - 200,903,000; Full time

Job summary

Proofpoint is seeking a Senior DevOps and Data Engineer to join the Data Platform team. This hybrid role focuses on reliability, automation, and the delivery of data pipelines and analytics capabilities on AWS-first infrastructure.

You'll own CI/CD pipelines, IaC, observability, and DataOps tooling to enable fast, safe data product delivery while collaborating with data engineers, data scientists, and security teams.

Qualifications

• 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 (metrics, logging, distributed tracing, alerting) for data and platform services.
• Strong communication skills-able to translate operational concerns into clear engineering trade-offs for both technical and non-technical audiences.

Responsibilities

• Design, implement, and maintain CI/CD pipelines 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 to ensure SLA compliance and fast incident response.
• Develop and maintain the DataOps platform-self-service tooling, pipeline templates, and shared libraries that allow data engineers to spin up production-grade pipelines quickly.
• Manage container and compute infrastructure (Docker, ECS/EKS, or Lambda) used to support data ingestion microservices and orchestration workers.
• Design and operate workflow orchestration environments (Amazon MWAA / Apache Airflow, AWS Step Functions) including upgrades, scaling, and reliability hardening.
• Build and maintain AWS Glue ETL jobs (PySpark) for large-scale data ingestion and transformation across the data lake on S3.
• Drive security best practices across the data platform: secrets management, least-privilege IAM, network segmentation, and compliance controls.
• Collaborate with data engineers, data scientists, and security teams to translate requirements into scalable, automated infrastructure solutions.
• Lead incident response for data platform outages: on-call participation, root-cause analysis, and post-mortem-driven improvements.
• Mentor junior engineers on DevOps and data engineering practices, conduct code and design reviews, and contribute to architecture decision records.

Skills

DevOps

Platform engineering

SRE

AWS

CI/CD

Data engineering

Python

PySpark

Tools

Terraform

AWS CDK

GitHub Actions

Jenkins

GitLab CI

Airflow

MWAA

Docker

Kubernetes

AWS Glue

Job description

Proofpoint is seeking a Senior DevOps and Data Engineer to join the Data Platform team. This hybrid role focuses on reliability, automation, and the delivery of data pipelines and analytics capabilities on AWS-first infrastructure.

You'll own CI/CD pipelines, IaC, observability, and DataOps tooling to enable fast, safe data product delivery while collaborating with data engineers, data scientists, and security teams.