Senior DevOps & Data Engineer for AI Pipelines

Solvd, Inc.; Buenos Aires; Hybrid; ARS 1,800,000 - 3,000,000; Full time

Benefits offered by this job

Competitive pay

Comprehensive benefits

Flexible work environment

Job summary

Proofpoint is seeking a Senior DevOps and Data Engineer to join our Data Platform team in Cordoba, Argentina. This hybrid role combines platform engineering with data infrastructure, focusing on reliability, automation, and fast delivery of data products.

You will own CI/CD Pipelines, manage AWS-based infra, and design observability for data pipelines using Glue, Athena, and S3. Collaboration with data engineers, scientists, and security teams is essential.

Qualifications

• 5+ years of professional experience in DevOps, platform engineering, or site reliability engineering
• Hands‑on data engineering experience (2+ years)
• Deep expertise with AWS core services: S3, IAM, VPC, CloudWatch, Lambda, ECS/EKS, Secrets Manager, CloudFormation/CDK
• Proficiency with Infrastructure‑as‑Code tools: Terraform and/or AWS CDK
• Strong CI/CD experience in GitHub Actions, Jenkins, GitLab CI or similar
• Experience with containers and orchestration (Docker, ECS/EKS, Kubernetes)
• Proven ability to design observability systems (metrics, logging, tracing) for data/platform services
• Excellent communication to translate ops concerns into clear engineering trade‑offs

Responsibilities

• Design, implement, and maintain CI/CD pipelines for AWS Glue ETL jobs, Athena views, and related data infrastructure
• Build and manage AWS cloud infrastructure using IaC (Terraform and/or AWS CDK) including S3, IAM, Glue, Athena workgroups, Lake Formation, VPCs
• Own observability stack: metrics, logs, alerts to ensure SLA compliance and fast incident response
• Develop DataOps self‑service tooling, templates, and libraries for production pipelines
• Manage container and compute infra (Docker, ECS/EKS, Lambda) to support ingestion microservices
• Design and operate workflow orchestration environments (MWAA/Airflow, Step Functions) including upgrades and scaling
• Build and maintain Glue ETL jobs (PySpark) for large-scale data ingestion/transformation
• Drive security best practices: secrets management, least‑privilege IAM, network segmentation
• Collaborate with data scientists/engineers to translate requirements into scalable infrastructure
• Lead incident response for data platform outages; participate in root‑cause analysis and post‑mortems
• Mentor junior engineers on DevOps and data engineering; conduct reviews

Skills

DevOps

Platform engineering

SRE

Data engineering

AWS

CI/CD

GitHub Actions

Jenkins

Terraform

AWS CDK

Terraform/AWS CDK

Docker

ECS/EKS

Kubernetes

Airflow

Glue

Athena

S3

CloudWatch

Datadog

Monitoring

Tools

Terraform

AWS CDK

CloudFormation

Docker

ECS

EKS

Kubernetes

MWAA

Airflow

Glue

Athena

S3

CloudWatch

Datadog

Job description

Proofpoint is seeking a Senior DevOps and Data Engineer to join our Data Platform team in Cordoba, Argentina. This hybrid role combines platform engineering with data infrastructure, focusing on reliability, automation, and fast delivery of data products.

You will own CI/CD Pipelines, manage AWS-based infra, and design observability for data pipelines using Glue, Athena, and S3. Collaboration with data engineers, scientists, and security teams is essential.