Principal DevOps Engineer (Data Engineering) - Cortex XDR

As a member of our team, you will be shaping the future of cybersecurity. We work fast, value ongoing learning, and we respect each employee as a unique individual. Knowing we all have different needs, our development and personal wellbeing programs are designed to give you choice in how you are supported. This includes our FLEXBenefits wellbeing spending account with over 1,000 eligible items selected by employees, our mental and financial health resources, and our personalized learning opportunities - just to name a few

• Contribute to the success of the Data platform team
• Develop expertise in new technologies
• Work with developers, researchers, data scientists, and security experts
• Ensure that applications are scalable, and reliable
• Develop tools and automation frameworks
• Automate robust deployment of robust services
• Orchestrate end-to-end monitoring and alerting
• Participate in design reviews

• You will work closely with development teams to manage and optimize data storage and processing in BigQuery in GCP
• Optimizes query performance and reduces costs for faster, more efficient data analysis
• Ensures scalability of data infrastructure to support product growth
• Supports feature optimization and enhances user experience with accurate data analysis
• Manages data-related costs by optimizing storage and query strategies
• Participate in the on-call rotation supporting the applications and infrastructure
• You will think of new ways of improving existing processes and creating new ones to increase Developers Experience
• Own, maintain, and continuously improve all systems provided as a service, such as monitoring and datastores
• Engage in service capacity planning and demand forecasting, anticipating performance bottlenecks

• 9+ years in data engineering / DevOps with extensive experience working on Dataware housing solutions
• Experienced in managing and optimizing GCP BigQuery with expertise in SQL query tuning, partitioning and clustering for performance and cost efficiency
• Experience in schema design, table management and query execution
• Proficiency with DB such as Cassandra, ScyllaDB, MemSQL, MySQL
• Proficiency with code language (Python / Go - preferred)
• Proficiency in the Google Cloud Platform
• High proficiency with virtualized and containerized environments (Kubernetes and Docker)
• Expertise in designing, analyzing, and troubleshooting large-scale distributed systems
• Experience in ETL/ELT Development
• Systematic problem-solving approach
• Bachelor in Computer Science / Engineering or equivalent or equivalent military experience required
• Passionate about technology with a strong focus on ensuring high reliability and service levels