CyberCube Analytics
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As a Cyber Risk and Analytics Engineer, you will develop innovative cyber risk models, analyze cybersecurity data, and research emerging threats. Collaborating with cross-functional teams, you'll create risk metrics and communicate insights to stakeholders, driving decision-making in the insurance industry.
The role involves determining the architectural strategy and vision for computer systems, developing scalable solutions, and providing guidance to developers for system integration. Responsibilities also include optimizing performance of systems and ensuring user needs are met through effective architecture design.
The Database Platform Engineer will create and manage systems for data storage and security, assemble complex data sets, and may perform additional related duties. The role requires strong skills in data analytics platform development and experience in schema design, ETL processes, and SQL for maintaining data infrastructures.
The Site Reliability Engineer (SRE) at CyberCube is responsible for developing and deploying AWS cloud services, managing containers using Kubernetes, and creating automation pipelines for system optimization. The role emphasizes ensuring system stability and performance, as well as collaborating with engineering teams.
The Engineering Manager will oversee the codebase, enhance development processes, and create software solutions on CyberCube's platform. This role involves collaborating with cross-functional teams, ensuring product quality, and managing the growth of the engineering team.