Summary: We are hiring a Lead DevOps Engineer to ensure the reliability and growth of our Ads Organization data infrastructure at scale, upgrading platforms, troubleshooting production issues, and optimizing CI/CD pipelines. Highlights: 1. Drive and optimize data processing operations across Airflow, Spark, and Flink 2. Architect and maintain AWS cloud infrastructure using Kubernetes and Terraform 3. Strengthen CI/CD automation by enhancing Spinnaker and Jenkins pipelines We are hiring a Lead DevOps Engineer to ensure the reliability and growth of our Ads Organization data infrastructure at scale. In this role you will upgrade platforms, troubleshoot production issues, and optimize CI/CD pipelines while partnering closely with stakeholders. Apply now to build dependable delivery and monitoring practices **Responsibilities** * Drive and optimize data processing operations across Airflow/MWAA, Spark, and Flink * Architect and maintain AWS cloud infrastructure using Kubernetes and Terraform * Coordinate with stakeholders to elicit requirements and provide visibility into infrastructure changes * Perform upgrades, routine maintenance, and root\-cause troubleshooting on data platforms with Datadog monitoring and performance insights * Strengthen CI/CD automation by enhancing Spinnaker and Jenkins pipelines for reliable releases **Requirements** * Extensive experience in DevOps engineering, including 5\+ years in similar roles * Hands\-on leadership exposure with 1\+ year guiding a team or owning delivery outcomes * Strong expertise in Amazon Web Services (AWS) for cloud infrastructure deployment and operations * Practical experience using Apache Airflow to orchestrate and schedule data pipelines * Expert\-level knowledge of Kubernetes for managing and scaling containerized applications * Solid proficiency with Terraform for automating infrastructure and managing configuration * English proficiency at B2 (Upper\-Intermediate) or above to collaborate effectively and report clearly **Nice to have** * Background with Apache Flink for real\-time data stream processing * Working knowledge of Apache NiFi for data flow automation and control * Familiarity with Databricks for advanced analytics and machine learning workloads * Hands\-on use of Datadog for monitoring infrastructure and resolving issues