Summary: We are 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 processes. Highlights: 1. Lead upgrades and maintenance for data platforms 2. Optimize data processing operations using Airflow, 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