Remote Recruiting Associate: High-Volume Hiring

Bluelight Consulting, Llc; Buenos Aires; Hybrid; ARS 900,000 - 1,500,000; Full time

Benefits offered by this job

Competitive compensation

Comprehensive benefits

Flexible work environment

Annual wellness days

Global collaboration

Job summary

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

You will build and maintain cloud infrastructure (AWS-first), CI/CD pipelines, and DevOps tooling enabling data teams to ship high-quality data products faster and more safely. Key work includes implementing CI/CD for Glue ETL jobs, managing AWS resources with Terraform or CDK, and owning observability for

Qualifications

• 2+ years of professional experience in DevOps, platform engineering, or SRE, including data engineering work.
• 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) and Athena.
• Proficiency with Infrastructure-as-Code tools - Terraform and/or AWS CDK.
• Strong CI/CD experience with GitHub Actions, Jenkins, GitLab CI, or equivalent.
• Experience with Docker and container orchestration (ECS/EKS/Kubernetes).

Responsibilities

• 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/AWS CDK) covering S3, IAM, Glue, Athena, Lake Formation, VPCs, and related services.
• Own the observability stack for data pipelines with metrics, logs, and alerts for SLA compliance and incident response.
• Manage container and compute infrastructure (Docker, ECS/EKS, or Lambda) for data ingestion microservices and orchestration workers.
• Build and maintain AWS 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 infrastructure.

Skills

AWS core services

CI/CD

Terraform / CDK

Docker

ECS/EKS/Kubernetes

Tools

GitHub Actions

Jenkins

GitLab CI

PySpark

Terraform

Job description

Cordoba, Argentina
Full time
R14759

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 maintain the cloud infrastructure (AWS-first), CI/CD pipelines, and DevOps tooling that enable data engineering teams to ship high-quality data products faster and more safely.

What You'll Do

• Implement, and maintain CI/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 to ensure SLA compliance and fast incident response.
• Manage container and compute infrastructure (Docker, ECS/EKS, or Lambda) used to support data ingestion microservices and orchestration workers.
• Build and maintain AWS 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.
• 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).

Nice to Have

• Knowledge of data quality frameworks and experience integrating them into CI/CD.
• Familiarity with open table formats and lakehouse patterns.
• Background in cybersecurity, threat intelligence, or security-data analytics environments.
• AWS Certified DevOps Engineer - Professional, AWS Certified Data Engineer - Associate, or AWS Certified Solutions Architect.
• Experience with cost optimization tooling.

Benefits

• Competitive compensation
• Comprehensive benefits
• Career success on your terms
• Flexible work environment
• Annual wellness and community outreach days
• 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 .