Senior AI-Driven Data Platform Engineer

Bunker DB

Buenos Aires

Hybrid

ARS 139,086,000 - 208,630,000

Full time

6 days ago

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Benefits offered by this job

Competitive compensation

Comprehensive benefits

Flexible work environment

Annual wellness days

Global collaboration opportunities

Job summary

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

You'll work across AWS Glue, Athena, S3, and related services, with a strong focus on operability, security, and developer experience.

Qualifications

5+ years in DevOps or platform engineering with data engineering exposure.
AWS core services such as S3, IAM, VPC, CloudWatch, Lambda, ECS/EKS.
Hands-on with AWS data services Glue, Athena, and S3 lifecycle and encryption.
IaC experience with Terraform and/or AWS CDK.
Strong CI/CD experience with GitHub Actions, Jenkins, or GitLab CI.
Docker and container orchestration (ECS/EKS/Kubernetes).
Observability design for metrics, logging, tracing, and alerting.
Excellent communication to translate ops concerns to engineering trade-offs.

Responsibilities

Design, implement, and maintain CI/CD pipelines for automated testing, deployment, and promotion of AWS Glue ETL jobs and Athena views.
Build and manage AWS-based infrastructure using IaC (Terraform and/or CDK).
Own the observability stack: metrics, logs, alerts for data pipelines and platform services.
Develop self-service DataOps tooling and reusable templates for rapid production pipelines.
Manage container/infrastructure (Docker, ECS/EKS, Lambda) for data ingestion services.
Operate workflow orchestration environments (MWAA/Airflow, Step Functions) with upgrades and scaling.
Build and maintain Glue ETL jobs (PySpark) for large-scale data ingestion/transformation on S3.
Enforce security best practices: Secrets Manager, least-privilege IAM, network segmentation.
Collaborate with data engineers/scientists to translate requirements into scalable infra.
Lead incident response for data platform outages and perform post-mortems.
Mentor junior engineers and participate in code/design reviews.