DevOps and Data Engineer

Posted 6 Days Ago
Be an Early Applicant
Hiring Remotely in Córdoba, ARG
Remote
Junior
Security • Cybersecurity
The Role
Build and maintain AWS cloud infrastructure, CI/CD pipelines, Infrastructure-as-Code, observability, container platforms, and AWS Glue ETL jobs. Support reliable data ingestion, transformation, analytics infrastructure, and data product delivery while collaborating with data engineering, data science, and security teams.
Summary Generated by Built In

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 (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 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 (Great Expectations, Deequ, or similar) and experience integrating them into CI/CD. 

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

  • Background in cybersecurity, threat intelligence, or security-data analytics 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!

Skills Required

  • 2+ years of professional experience in DevOps, platform engineering, or site reliability engineering, with at least 2 years of hands-on data engineering experience.
  • Expertise with AWS S3, IAM, VPC, CloudWatch, Lambda, ECS/EKS, Secrets Manager, and CloudFormation or AWS CDK.
  • Hands-on experience with AWS Glue ETL jobs, Crawlers, Data Catalog, Athena workgroup management, query tuning, federated queries, and S3 lifecycle, encryption, and event notifications.
  • Proficiency with Terraform and/or AWS CDK for managing production cloud environments.
  • Strong CI/CD experience designing and maintaining pipelines using GitHub Actions, Jenkins, GitLab CI, or equivalent.
  • Experience with Docker and container orchestration using Amazon ECS, Amazon EKS, or Kubernetes.
  • Knowledge of data quality frameworks such as Great Expectations or Deequ and experience integrating them into CI/CD.
  • Familiarity with open table formats such as Apache Iceberg or Delta Lake and lakehouse patterns.
  • Background in cybersecurity, threat intelligence, or security-data analytics environments.

Proofpoint Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Proofpoint and has not been reviewed or approved by Proofpoint.

  • Healthcare Strength — Healthcare coverage spans medical, dental, vision, life, and disability, complemented by global physical, mental, and financial health programs. Wellbeing resources such as mindfulness, resilience, and meditation courses are explicitly highlighted.
  • Leave & Time Off Breadth — Time-off provisions include PTO, paid holidays and sick days, with parental and family medical leave available. Added flexibility appears in wellness days, a hybrid-first model, and limited work-from-anywhere periods.
  • Fair & Transparent Compensation — Pay is considered competitive in many roles and settings, with external recognition indicating strong standing relative to peers. Feedback suggests employees in several departments view compensation favorably when considering base, bonus, and benefits together.

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The Company
HQ: Sunnyvale, CA
3,780 Employees
Year Founded: 2002

What We Do

We provide the most effective cybersecurity and compliance solutions to protect people on every channel including email, the web, the cloud, and social media.

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