Summary: Seeking a Lead DevOps Engineer to enhance scalability and uptime for our Ads Organization's data infrastructure, leading upgrades, resolving blockers, and refining CI/CD. Highlights: 1. Lead upgrades and maintenance to boost scalability and uptime 2. Optimize data processing using Airflow/MWAA, Spark, and Flink 3. Build and maintain cloud infrastructure with AWS, Kubernetes, and Terraform We are seeking a Lead DevOps Engineer to boost scalability and uptime for our Ads Organization data infrastructure. You will lead upgrades and maintenance, resolve technical blockers, and refine CI/CD with Spinnaker and Jenkins while keeping stakeholders aligned. Apply today to help deliver robust, data\-driven platforms **Responsibilities** * Own and optimize data processing operations leveraging Airflow/MWAA, Spark, and Flink * Build and maintain cloud infrastructure using AWS, Kubernetes, and Terraform * Partner with stakeholders to gather requirements and share updates on infrastructure changes * Handle upgrades, maintenance, and troubleshooting for data platforms, using Datadog to monitor systems and analyze performance * Optimize CI/CD pipelines with Spinnaker and Jenkins to improve delivery efficiency and consistency **Requirements** * Minimum 5 years of professional experience in a DevOps engineering position * At least 1 year of experience leading a team or taking on people management duties * Strong background in Amazon Web Services (AWS) for cloud infrastructure deployment and management * Hands\-on experience with Apache Airflow for scheduling and orchestrating data workflows * Advanced knowledge of Kubernetes for managing and scaling containerized services * Skilled in Terraform for infrastructure provisioning, automation, and configuration * English communication proficiency at B2 (Upper\-Intermediate) or higher for collaboration and reporting **Nice to have** * Experience using Apache Flink for processing real\-time streams * Familiarity with Apache NiFi to automate and control data flows * Knowledge of Databricks for advanced analytics and machine learning projects * Experience with Datadog for monitoring infrastructure and resolving operational issues