Design data architectures for TROCCO and COMETA, translating customer needs into technical solutions. Lead discovery, PoC validation, troubleshooting, and DWH/BI recommendations.
About this role
PrimeNumber, the data technology company behind TROCCO, is hiring a Corporate Engineer who is expected to become manager of the corporate engineering group within six months to a year. With rapid growth and an IPO in view, and more enterprise customers raising security and governance expectations, the company needs someone to strengthen internal IT, cloud management and security without slowing the business.
Initially a hands-on player, the engineer works with the IT team on executing information-systems strategy and enterprise risk management; gives technical review and support for ISMS, SOC 2 and IT general controls audits, implementing evidence and controls for infrastructure and cloud; manages and optimizes AWS and Google Cloud, including IAM design, audit logs, visibility and cost optimization; supports network, device and MDM management (Intune, Jamf) and incident response; and handles second-line IT help desk and AI-usage support. Supply-chain attack and other company-wide security risks are part of the scope.
No formal qualification list is given. The role calls for engineering strength in security and cloud administration, and a practical balance between protection and business speed.
This is an AI-generated summary of the employer's original posting — details can be incomplete, out of date or simply wrong. Always confirm everything on the official posting before applying.
Similar jobs
Design and implement data infrastructure to support AI utilization, collaborating with senior engineers and consultants.
Lead architecture, technical renewal, and core development for TROCCO and COMETA, using Ruby, Java, TypeScript, and AWS to support large-scale data processing and delivery quality.
Develop and operate client programs for smartphone, console, and PC games. Build gameplay and user-facing systems, animation, graphics, and networking features, plus Unity tools.
Design and implement scalable data pipelines using Databricks Lakehouse Platform, collaborating with engineers and data scientists.
Build web and mobile apps, backend systems, and AI agents in an in-house team. After three months of training, work across planning, development, and operational improvement.