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Senior Data SRE / Cloud Platform Engineer

Skills

aiairflowawsbashbigqueryci cdcloudcloudwatchdata engineeringdatadogdbtdevopsdockergcpgitlabgrafanainfrastructure as codekafkanetwork securityobservabilitypostgresqlprometheuspythonrbac

Description

Overview
Siga leyendo para comprender completamente lo que este trabajo requiere en cuanto a habilidades y experiencia. Si su perfil encaja, presente su candidatura.

In this role you will own, scale and secure the cloud infrastructure powering our data platforms and payment intelligence. You will act as the cloud infrastructure anchor for data engineering and AI initiatives, defining best practices for IaC, CI/CD and platform reliability across AWS and GCP. Collaborating with cross-functional teams, you help ensure security, cost governance and high availability at scale. This is a chance to shape a critical, high-impact platform at a global payments company.

Compensaciones / Beneficios
  • Competitive compensation
  • Employee Stock Purchase Plan (ESPP)
  • Flying Start - Global Induction
  • Wellbeing Programs
  • FlyBetter Days for volunteering
  • Digital Disconnect Days
Responsabilidades
  • Lead IaC design and deployment across AWS and GCP using Terraform with enterprise-grade practices
  • Define and enforce SLIs/SLOs and alerting to maximize uptime and minimize MTTR
  • Architect GitLab CI/CD pipelines and container orchestration with Fargate for zero-touch deployments
  • Enable data platforms (Airflow, dbt, Pub/Sub, Beam) and AI integrations in secure, scalable cloud environments
  • Automate security policies (RBAC/ABAC), network security and cost governance for data workloads
Requisitos principales
  • 5+ years in SRE, DevOps or Cloud Platform Engineering with production-scale cloud infra experience
  • Master-level xkdbapo Terraform experience for multi-account/multi-project AWS and GCP
  • Strong observability and reliability background (Datadog, Prometheus, Grafana, CloudWatch)
  • CI/CD and containers expertise (GitLab CI/CD, Docker, Fargate)
  • Experience provisioning infrastructure for data tooling (PostgreSQL, BigQuery, Snowflake, Airflow, Kafka/PubSub) and scripting (Python or Bash)
  • Terraform
  • AWS
  • GCP
  • Datadog
  • Prometheus
  • Grafana

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