Proofpoint

Senior DevOps and Data Engineer

Proofpoint
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1 day ago
Córdoba, ArgentinaSenior

Responsibilities

  • Design and maintain CI/CD pipelines for AWS Glue ETL jobs, Athena views, and related data infrastructure.
  • Build and manage AWS infrastructure with Terraform and/or AWS CDK, including S3, IAM, Glue, Athena, Lake Formation, and VPC resources.
  • Own observability for data pipelines using metrics, logs, alerts, and tools such as CloudWatch or Datadog.
  • Develop self-service DataOps tooling, pipeline templates, and shared libraries for data engineering teams.
  • Manage Docker-based container and compute infrastructure using ECS, EKS, Kubernetes, or Lambda.
  • Operate workflow orchestration environments with Amazon MWAA, Apache Airflow, and AWS Step Functions.
  • Build and maintain PySpark AWS Glue ETL jobs for ingestion and transformation across the S3 data lake.
  • Drive secrets management, least-privilege IAM, network segmentation, and compliance controls.
  • Collaborate with data engineers, data scientists, and security teams on scalable infrastructure solutions.
  • Lead incident response, on-call activities, root-cause analysis, and post-mortem improvements.
  • Mentor junior engineers and conduct code, design, and architecture reviews.

Requirements

  • At least 5 years of professional experience in DevOps, platform engineering, or site reliability engineering, including at least 2 years of hands-on data engineering.
  • Deep expertise with AWS services including S3, IAM, VPC, CloudWatch, Lambda, ECS/EKS, Secrets Manager, and CloudFormation/CDK.
  • Hands-on experience with AWS Glue, Athena, and S3 data lake capabilities.
  • Proficiency with Terraform and/or AWS CDK for production cloud environments.
  • Strong CI/CD experience with GitHub Actions, Jenkins, GitLab CI, or equivalent.
  • Experience with Docker and container orchestration using Amazon ECS, EKS, or Kubernetes.
  • Experience designing and operating observability systems for data and platform services.
  • Strong communication skills for explaining operational concerns and engineering trade-offs.
  • Familiarity with Apache Kafka, Amazon Kinesis, or Glue Streaming ETL is preferred.
  • Knowledge of Great Expectations, Deequ, or similar data quality frameworks is preferred.
  • Familiarity with Apache Iceberg, Delta Lake, and lakehouse patterns is preferred.
  • Cybersecurity, threat intelligence, or security-data analytics experience is preferred.
  • AWS DevOps Engineer – Professional, AWS Data Engineer – Associate, or AWS Solutions Architect certification is preferred.
  • Experience with Infracost or AWS Cost Explorer cost-optimization tooling is preferred.

Benefits

  • Competitive compensation and comprehensive benefits.
  • Flexible work environment.
  • Annual wellness and community outreach days.
  • Recognition programs and global collaboration and networking opportunities.

Tech Stack

Apache AirflowApache KafkaAWSDatadogDockerGitHub ActionsGitLab CI/CDJenkinsKubernetesTerraform

Categories

Data EngineeringDevOps
Proofpoint

About Proofpoint

5,001-10,000 employees

Proofpoint builds cloud-based cybersecurity and compliance products that protect email, collaboration tools, and sensitive data for enterprises and public-sector organizations. Its portfolio includes email threat protection, data loss prevention, security awareness training, archiving/governance, and safeguards for SaaS and AI-driven workflows, sold as subscription software and services. Founded in 2002 and headquartered in Sunnyvale, it is owned by Thoma Bravo, and reports that over 80 of the Fortune 100 use its products.

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