Senior AI-Driven Data Platform & DevOps Engineer

EPAM Systems Inc; Buenos Aires; Hybrid; ARS 185,357,000 - 247,142,000; Full time

Benefits offered by this job

Competitive compensation

Comprehensive benefits

Career growth

Flexible work environment

Wellness and community days

Recognition culture

Global collaboration

Job summary

Proofpoint is seeking a Senior DevOps and Data Engineer to join our Data Platform team in a hybrid role at the intersection of platform engineering and data infrastructure. You will own reliability, automation, and delivery of systems powering Proofpoint's data pipelines and analytics capabilities, building cloud infrastructure (AWS-first) and CI/CD tooling.

You will contribute to data pipelines using AWS Glue, Athena, and S3, while shaping observability and security controls.

Qualifications

• 5+ years of professional experience in DevOps, platform engineering, or SRE with at least 2 years data engineering.
• Deep expertise with AWS core services including S3, IAM, VPC, CloudWatch, Lambda, ECS/EKS, Secrets Manager, CloudFormation/CDK.
• Hands-on AWS data services: Glue, Athena, and S3 lifecycle management.
• Proficiency with Terraform and/or AWS CDK for production cloud environments.
• Strong CI/CD experience across GitHub Actions, Jenkins, GitLab CI, or equivalents.
• Experience with Docker and container orchestration (ECS, EKS, Kubernetes).
• Ability to design observability systems (metrics, logging, tracing, alerting) for data/platform services.
• Clear communication and ability to translate operational concerns into engineering trade-offs.

Responsibilities

• Design, implement, and maintain CI/CD pipelines for automated testing, deployment, and promotion of data infra.
• Build and manage cloud infrastructure on AWS using IaC; cover S3, IAM, Glue, Athena, VPCs, and related services.
• Own the observability stack with metrics, logs, and alerts to ensure SLA compliance and fast incident response.
• Develop DataOps tooling, templates, and libraries for rapid production-grade pipelines.
• Manage container and compute infra (Docker, ECS/EKS, Lambda) to support data ingestion services.
• Design and operate workflow orchestration environments (MWAA/Airflow, Step Functions) with upgrades and reliability hardening.
• Build and maintain Glue ETL jobs (PySpark) for large-scale data ingestion and transformation.
• Drive security best practices: secrets management, least-privilege IAM, network segmentation, compliance controls.
• Collaborate with data engineers, scientists, and security teams to translate requirements into scalable infra.
• Lead incident response for data platform outages; perform root-cause analysis and post-mortems.
• Mentor junior engineers, conduct code/design reviews, and contribute to architecture decisions.

Skills

DevOps

Platform engineering

SRE

Data engineering

CI/CD

AWS

Python/PySpark

Communication

Tools

Terraform

AWS CDK

GitHub Actions

Jenkins

Docker

ECS/EKS

Airflow/MWAA

Datadog

Job description

Proofpoint is seeking a Senior DevOps and Data Engineer to join our Data Platform team in a hybrid role at the intersection of platform engineering and data infrastructure. You will own reliability, automation, and delivery of systems powering Proofpoint's data pipelines and analytics capabilities, building cloud infrastructure (AWS-first) and CI/CD tooling.

You will contribute to data pipelines using AWS Glue, Athena, and S3, while shaping observability and security controls.