Senior Data Platform Reliability Engineer – Kubernetes & NVMe-OF

Simplyblock Gmbh; Buenos Aires; Hybrid; ARS 182,310,000 - 273,465,000; Full time

Benefits offered by this job

Competitive compensation

Comprehensive benefits

Flexible work environment

Wellness days

Global collaboration

Job summary

Proofpoint is seeking a Senior DevOps and Data Engineer to join our Data Platform team. This hybrid role 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 design and maintain CI/CD pipelines, build AWS-based infrastructure with IaC, manage observability, and mentor engineers while collaborating with data scientists and security

Qualifications

• 5+ years in DevOps/platform engineering or SRE with data eng exposure.
• Deep expertise with AWS core services (S3, IAM, VPC, CloudWatch).
• Hands-on IaC using Terraform and/or AWS CDK for production environments.
• Strong CI/CD experience across GitHub Actions, Jenkins, GitLab CI.

Responsibilities

• Design, 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 IaC (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 metrics, logs, and alerts (CloudWatch, Datadog, or equivalent) to ensure SLA compliance and fast incident response.
• Develop and maintain the DataOps platform-self-service tooling, pipeline templates, and shared libraries that enable data engineers to spin up production-grade pipelines quickly.
• Manage container and compute infrastructure (Docker, ECS/EKS, or Lambda) used to support data ingestion microservices and orchestration workers.
• Design and operate workflow orchestration environments (Amazon MWAA / Apache Airflow, AWS Step Functions) including upgrades, scaling, and reliability hardening.
• 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, automated 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, and contribute to architecture decision records.

Skills

DevOps

Platform engineering

Site reliability

Observability

Communication

Tools

GitHub Actions

Jenkins

GitLab CI

Terraform

AWS CDK

AWS Glue

Athena

Airflow

Docker

Kubernetes

ECS/EKS

Job description

Proofpoint is seeking a Senior DevOps and Data Engineer to join our Data Platform team. This hybrid role 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 design and maintain CI/CD pipelines, build AWS-based infrastructure with IaC, manage observability, and mentor engineers while collaborating with data scientists and security