Summary: We are seeking a Lead DevOps Engineer to enhance the reliability and scalability of our Ads Organization data infrastructure, delivering upgrades, optimizing CI/CD, and troubleshooting production challenges. Highlights: 1. Lead optimization of data processing operations with Airflow, Spark, and Flink 2. Create and sustain cloud infrastructure using AWS, Kubernetes, and Terraform 3. Refine CI/CD delivery by enhancing Spinnaker and Jenkins pipelines We are searching for a Lead DevOps Engineer to improve the reliability and scalability of our Ads Organization data infrastructure. You will troubleshoot production challenges, deliver upgrades and maintenance, and optimize CI/CD workflows while coordinating with stakeholders. Apply to help us ship stable systems with strong observability **Responsibilities** * Oversee and optimize data processing operations using Airflow/MWAA, Spark, and Flink * Create and sustain cloud infrastructure with AWS, Kubernetes, and Terraform * Engage stakeholders to collect requirements and communicate infrastructure change progress * Plan and execute upgrades, conduct maintenance, and troubleshoot data platforms while using Datadog for monitoring and performance insights * Refine CI/CD delivery by enhancing Spinnaker and Jenkins pipelines for consistent releases **Requirements** * Proven track record of 5\+ years in DevOps engineering roles * Demonstrated experience of 1\+ year in leadership or team management responsibilities * Deep expertise in Amazon Web Services (AWS) for deploying, managing, and operating cloud infrastructure * Hands\-on experience with Apache Airflow for orchestrating and scheduling data workflows * Advanced knowledge of Kubernetes to manage and scale containerized applications * Strong proficiency in Terraform for infrastructure automation and configuration * English level B2 (Upper\-Intermediate) or higher with strong communication skills for collaboration and reporting **Nice to have** * Experience with Apache Flink for real\-time data stream processing * Familiarity with Apache NiFi for automating and controlling data flows * Knowledge of Databricks for advanced analytics and machine learning efforts * Experience with Datadog for monitoring infrastructure and driving issue resolution