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Location
Remote/Hybrid (Córdoba, Argentina)
Seniority
Junior · 2+ years exp
Employment
Full-Time
Overview
Company
Impact
Profile match
Proofpoint is an American cybersecurity company founded in 2002 that concentrates on the channels people use rather than the network they sit on, starting from email and expanding into the wider problem of how employees are targeted and how data leaves an organisation. Its products cover email security, insider threat management, data loss prevention, security awareness training and digital risk protection, sold on the premise that most breaches begin with a person rather than a system. Headquartered in Sunnyvale and taken private by Thoma Bravo in 2021, it serves a large share of the Fortune 100 and has continued acquiring in the data security space.

About Us:

Proofpoint is a global leader in human- and agent-centric cybersecurity. We protect how people, data, and AI agents connect across email, cloud, and collaboration tools. Over 80 of the Fortune 100, 10,000 large enterprises, and millions of smaller organizations trust Proofpoint to stop threats, prevent data loss, and build resilience across their people and AI workflows. Our mission is simple: safeguard the digital world and empower people to work securely and confidently. Join us in our pursuit to defend data and protect people.

How We Work:

At Proofpoint you’ll be part of a global team that breaks barriers to redefine cybersecurity guided by our BRAVE core values:

Bold in how we dream and innovate

Responsive to feedback, challenges and opportunities

Accountable for results and best in class outcomes

Visionary in future focused problem-solving

Exceptional in execution and impact

Position Overview

Proofpoint is seeking a DevOps and Data Engineer to join our Data Platform team. This is a hybrid role that sits at the intersection of platform engineering and data infrastructure-you will own the reliability, automation, and delivery of the systems that power Proofpoint's data pipelines and analytics capabilities. You will build and maintainthe cloud infrastructure (AWS-first), CI/CD pipelines, and DevOps tooling that enable data engineering teams to ship high-quality data products faster and moresafely.

What You'll Do

  • Implement, and maintainCI/CD pipelines (GitHub Actions, Jenkins, or equivalent) 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 (CloudWatch, Datadog, or equivalent) to ensure SLA compliance and fast incident response.

  • Manage container and compute infrastructure (Docker, ECS/EKS, or Lambda) used to support data ingestionmicroservices and orchestration workers.

  • Build and maintainAWS Glue ETL jobs (PySpark) for large-scale data ingestion and transformation across the data lake on S3.

  • Collaborate with data engineers, data scientists, and security teams to translate requirements into scalable, automated infrastructure solutions.

What You Bring to the Team

Required

  • 2+ years of professional experience in DevOps, platform engineering, or site reliability engineering, with at least 2 years of hands-on data engineering work.

  • Expertisewith 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).

  • Proficiencywith Infrastructure-as-Code tools-Terraform and/or AWS CDK-for managing productioncloud environments.

  • Strong CI/CD experience: designing and maintainingpipelines in GitHub Actions, Jenkins, GitLab CI, or equivalent.

  • Experience with container technologies (Docker) and container orchestration (Amazon ECS, EKS, or Kubernetes).

Nice to Have

  • Knowledge of data quality frameworks (Great Expectations, Deequ, or similar) and experience integrating them into CI/CD.

  • Familiarity with open table formats (Apache Iceberg, Delta Lake) and lakehousepatterns.

  • Background in cybersecurity, threat intelligence, or security-dataanalytics environments.

Why Proofpoint?

At Proofpoint, we believe that an exceptional career experience includes a comprehensive compensation and benefits package. Here are just a few reasons you’ll love working with us:

  • Competitive compensation

  • Comprehensive benefits

  • Career success on your terms

  • Flexible work environment

  • Annual wellness and community outreach days

  • Always on recognition for your contributions

  • Global collaboration and networking opportunities

Our Culture:

Our culture is rooted in values that inspire belonging, empower purpose and drive success-every day, for everyone.

We encourage applications from individuals of all backgrounds, experiences, and perspectives. If you need accommodation during the application or interview process, please reach out to [email protected].

How to Apply

Interested? Submit your application along with any supporting information- we can’t wait to hear from you!

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