Senior DevOps & Data Engineer — AWS Cloud

Maxit Consulting - Max Corporate Group; Buenos Aires; Hybrid; ARS 185,448,000 - 278,173,000; Full time

Benefits offered by this job

Remote work from Argentina

Global client exposure

Training and certification support

Job summary

Proofpoint is seeking a Senior DevOps and Data Engineer to join our Data Platform team in Argentina. You will own the reliability and automation of data pipelines, build cloud infrastructure on AWS (S3, Glue, Athena), and manage CI/CD for ETL workloads.

You will collaborate across data engineers, scientists, and security teams, mentor junior engineers, and help scale our data capabilities while embracing remote-friendly, hybrid work arrangements.

Qualifications

• 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.
• 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).
• Proven ability to design and operate observability systems (metrics, logging, distributed tracing, alerting) for data and platform services.
• Strong communication skills-able to translate operational concerns into clear engineering trade-offs for both technical and non-technical audiences.

Responsibilities

• 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 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 and instrument metrics, logs, and alerts to ensure SLA and rapid incident response.
• Develop and maintain the DataOps platform self-service tooling, pipeline templates, and shared libraries for production-grade pipelines.
• Manage container and compute infrastructure (Docker, ECS/EKS, or Lambda) for data ingestion microservices and orchestration workers.
• Design and operate workflow orchestration environments (MWAA / Apache Airflow / Step Functions) including upgrades 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 practices across the data platform: Secrets Manager, 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 and post-mortem-driven improvements.
• Mentor junior engineers, conduct code/design reviews, and contribute to architecture decision records.

Skills

DevOps

AWS

Kubernetes

CI/CD

Communication

Tools

Terraform

GitHub Actions

Ansible

AWS CDK

Docker

Job description

Proofpoint is seeking a Senior DevOps and Data Engineer to join our Data Platform team in Argentina. You will own the reliability and automation of data pipelines, build cloud infrastructure on AWS (S3, Glue, Athena), and manage CI/CD for ETL workloads.

You will collaborate across data engineers, scientists, and security teams, mentor junior engineers, and help scale our data capabilities while embracing remote-friendly, hybrid work arrangements.