Senior DevOps & Data Engineer — AWS Glue & Airflow

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

Benefits offered by this job

Competitive compensation

Flexible work environment

Career growth on your terms

Comprehensive benefits

Job summary

Proofpoint is seeking a Senior DevOps and Data Engineer to join our Data Platform team. This hybrid role sits at the intersection of platform engineering and data infrastructure, owning the reliability, automation, and delivery of the systems that power our data pipelines and analytics.

You will build and maintain cloud infrastructure on AWS, CI/CD pipelines, and DevOps tooling to enable data engineering teams to ship high‑quality data products faster and more safely.

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.
• 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 AWS Glue ETL jobs, Athena views, and related data infrastructure.
• Build and manage AWS infrastructure with IaC (Terraform / CDK).
• Own the observability stack for data pipelines: metrics, logs, and alerts to ensure SLA and fast incident response.
• Develop and maintain the DataOps self-service tooling, pipeline templates, and shared libraries.
• Manage container and compute infrastructure (Docker, ECS/EKS, Lambda) used to support data ingestion microservices and orchestration workers.
• Operate workflow orchestration environments (MWAA/Airflow, Step Functions) including upgrades and reliability hardening.
• Build and maintain AWS Glue ETL jobs (PySpark) for large-scale data ingestion and transformation on S3.
• Drive security across the data platform: secrets management, least-privilege IAM, network segmentation.
• Collaborate with data engineers and security teams to translate requirements into scalable infra.
• Lead incident response for data platform outages and conduct post-mortems.

Skills

DevOps

Data engineering

AWS

Terraform / CDK

CI/CD

Docker

Observability

Communication

Tools

GitHub Actions

Jenkins

GitLab CI

Job description

Proofpoint is seeking a Senior DevOps and Data Engineer to join our Data Platform team. This hybrid role sits at the intersection of platform engineering and data infrastructure, owning the reliability, automation, and delivery of the systems that power our data pipelines and analytics.

You will build and maintain cloud infrastructure on AWS, CI/CD pipelines, and DevOps tooling to enable data engineering teams to ship high‑quality data products faster and more safely.