Sr. Software Engineer, Data Engineering

This role involves building and maintaining data pipelines for CloudX's AI-native supply-side platform. The engineer will ensure data infrastructure supports analytics and machine learning.

Builds and maintains robust data pipelines and transformation layers. Designs scalable data models, optimizes ETL processes, and ensures data quality and accessibility for analytics and business intelligence teams.

Build and maintain scalable data pipelines and ETL processes to support analytics and data-driven decision making.

This role owns the data platform behind AI features, designing data models and storage architecture across relational, graph, and retrieval-oriented data. The engineer builds and operates APIs, backend services, and ingestion pipelines, ensuring data correctness, query performance, and scalability. Requires 6+ years in backend/data engineering with strong Python and SQL, and experience with production AWS services.

This role designs, programs, and commissions facility automation controls for a data center plant. Responsibilities include writing PLC code, building HMI/SCADA interfaces, integrating with BMS/EPMS systems, and ensuring safety compliance with NEC/NFPA standards. Requires 1+ years of experience in industrial controls or building automation, with proficiency in PLC programming and industrial protocols.

This role designs, implements, and matures the enterprise IAM ecosystem, serving as a key subject matter expert within the Information Security organization. The IAM Engineer owns complex initiatives end-to-end, including federation strategies, identity lifecycle management, RBAC, PAM, and automation with Terraform. Requires 3+ years of hands-on IAM experience and expertise in modern protocols and platforms.

This role designs, builds, and runs the software systems behind Grok Voice, delivering natural, low-latency, multilingual spoken interactions. The engineer owns the full engineering stack from large-scale data processing to distributed training and production deployment, including building data pipelines, optimizing training infrastructure, and integrating voice models into production. Requires experience with Python, PyTorch, JAX, Rust, or C++ and 2+ years working with large-scale voice products.