Senior DevOps & Data Engineer (Hybrid, AWS)

Fullstack; Buenos Aires; Hybrid; ARS 3,800,000 - 6,800,000; Full time

Benefits offered by this job

Competitive compensation

Flexible work environment

Global collaboration and networking

Job summary

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 capabilities, building cloud infra (AWS‑first), CI/CD pipelines, and DevOps tooling to empower data teams.

You’ll work across AWS Glue, Athena, and S3, ensuring observability, security, and scalable data processing. Collaboration with data scientists and security teams is key.

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, Athena, and S3 lifecycle, encryption, and events.
• 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 (ECS, EKS, or Kubernetes).
• Proven ability to design and operate observability systems (metrics, logging, distributed tracing, alerting) for data and platform services.

Responsibilities

• 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 Infrastructure‑as‑Code (Terraform and/or AWS CDK).
• 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 and templates for production‑grade pipelines.
• Manage container and compute infrastructure (Docker, ECS/EKS, or Lambda) for data ingestion microservices and orchestration workers.
• Design and operate workflow orchestration environments (AWS MWAA / Apache Airflow, AWS Step Functions).
• 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 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.

Job description

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 capabilities, building cloud infra (AWS‑first), CI/CD pipelines, and DevOps tooling to empower data teams.

You’ll work across AWS Glue, Athena, and S3, ensuring observability, security, and scalable data processing. Collaboration with data scientists and security teams is key.