Senior DevOps & Data Platform Engineer

Sky Systems, Inc. (Skysys); Buenos Aires; Ibrido; ARS 2.600.000 - 5.200.000; Tempo pieno

Vantaggi offerti da questo lavoro

Competitive compensation

Flexible work environment

Wellness and community days

Descrizione del lavoro

Proofpoint is seeking a Senior DevOps and Data Engineer to join our Data Platform team in a hybrid capacity in Cordoba, Argentina. You will own the reliability, automation, and delivery of data pipelines and analytics capabilities, building and maintaining cloud infrastructure in AWS, CI/CD pipelines, and DevOps tooling for data products.

You’ll collaborate with data engineers, data scientists, and security teams to design scalable infrastructure, implement DataOps self-service tooling, and lead

Competenze

• 5+ years of professional experience in DevOps, platform engineering, or site reliability engineering, with at least 2 years of hands-on data engineering work.
• Deep expertise with AWS core services: S3, IAM, VPC, CloudWatch, Lambda, ECS/EKS, Secrets Manager, and CloudFormation/CDK.
• Proficiency with Infrastructure-as-Code tools-Terraform and/or AWS CDK-for managing production cloud environments.

Mansioni

• Design, implement, and maintain CI/CD pipelines 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).
• Own the observability stack for data pipelines with metrics, logs, and alerts to ensure SLA compliance and fast incident response.
• Develop and maintain the DataOps platform self-service tooling, pipeline templates, and shared libraries for rapid production pipelines.
• Manage container and compute infrastructure (Docker, ECS/EKS, or Lambda) to support data ingestion microservices and orchestration workers.
• Design and operate workflow orchestration environments (MWAA / Apache Airflow, Step Functions) including upgrades and scaling.
• 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 infrastructure solutions.
• Lead incident response for data platform outages: on-call participation, root-cause analysis, and post-mortem improvements.

Conoscenze

AWS Core

CI/CD

Terraform

Python / PySpark

Docker / Kubernetes

Data Engineering

Observability

Security

Strumenti

AWS Glue

Athena

S3

Terraform

CDK / CloudFormation

GitHub Actions

Jenkins

ECS / EKS

Airflow / MWAA

Descrizione del lavoro

Proofpoint is seeking a Senior DevOps and Data Engineer to join our Data Platform team in a hybrid capacity in Cordoba, Argentina. You will own the reliability, automation, and delivery of data pipelines and analytics capabilities, building and maintaining cloud infrastructure in AWS, CI/CD pipelines, and DevOps tooling for data products.

You’ll collaborate with data engineers, data scientists, and security teams to design scalable infrastructure, implement DataOps self-service tooling, and lead