Categorías
···
Entrar / Registro
Senior DevOps Engineer
Indeed
Tiempo completo
Presencial
Sin requisito de experiencia
Sin requisito de título
79Q22222+22
Favoritos
Compartir
Parte del contenido se ha traducido automáticamenteVer original
Descripción

Summary: Seeking a Senior DevOps Engineer to scale Ads data platforms, managing AWS infrastructure, improving Kubernetes and Terraform, and streamlining CI/CD with Spinnaker and Jenkins. Highlights: 1. Scale Ads data platforms and ensure resilient operations across data systems 2. Maintain and refine data pipelines leveraging Airflow/MWAA, Spark, and Flink 3. Streamline build and release automation by enhancing CI/CD pipelines We are scaling Ads data platforms and seek a Senior DevOps Engineer to ensure resilient operations across our data\-focused systems. You will manage AWS infrastructure, improve Kubernetes and Terraform setups, and streamline CI/CD with Spinnaker and Jenkins; submit your application today. **Responsibilities** * Maintain and refine data pipelines leveraging Airflow/MWAA, Spark, and Flink * Implement and administer AWS\-based infrastructure using Kubernetes and Terraform * Coordinate with stakeholders to clarify requirements and provide regular infrastructure status updates * Diagnose issues, apply upgrades, and perform ongoing maintenance on data platforms with Datadog\-driven monitoring * Streamline build and release automation by enhancing Spinnaker and Jenkins CI/CD pipelines **Requirements** * Demonstrated 3\+ years of professional work in DevOps or Data DevOps * Deep experience using Amazon Web Services (AWS) to administer cloud infrastructure * Working proficiency with Apache Airflow to build, schedule, and monitor workflows * Strong skills in Kubernetes for orchestrating containerized services * Infrastructure\-as\-code expertise with Terraform for repeatable provisioning * English proficiency at B2 (Upper\-Intermediate) or higher to support teamwork and documentation **Nice to have** * Knowledge of Apache Flink for real\-time and streaming workloads * Experience with Apache NiFi for building and automating data pipelines * Understanding of Databricks in analytics and machine learning operations contexts * Comfort using Datadog for monitoring, alerting, and troubleshooting

Fuentea:  indeed Ver publicación original
Juan García
Indeed · HR

Compañía

Indeed
Cookie
Configuración de cookies
Nuestras aplicaciones
Download
Descargar en
APP Store
Download
Consíguelo en
Google Play
© 2025 Servanan International Pte. Ltd.