• We're looking for a Senior Software Engineer to help us design, build, and optimize high-performance backend systems that power real-time bidding (RTB) and machine learning at internet scale. • You’ll work on software that handles billions of daily transactions with strict latency and reliability constraints - all in a distributed, low-latency environment. • Developing and maintaining the ML training platform and the bidding infrastructure that evaluates ML models in the production environment. • Identifying performance bottlenecks and optimizing critical, low-level parts of the system. • Ensuring the reliability and scalability of implementations, and creating performance and correctness tests for new system components. • Testing and benchmarking open-source Big Data and ML technologies to assess their suitability for the production environment.

• You design integrations, data flows, data models and best practices from the ground up in the context of Data and Analytics. • You work on a scalable, secure and maintainable solution to provide our customers with value both through raw data exports and business KPIs related to the transactions processed on our platform. • You design and develop scalable, maintainable backend services in our modern microservice architecture, create their data-oriented APIs and build dashboards on that basis. • In addition, you develop authorization and administration mechanisms together with your team that govern access to data on our platform and ensure secure and flexible management of those permissions and configurations. • In task and workflow management you design and optimize the interaction between the different roles and users on our platform. • You take responsibility for the end-to-end delivery of new features: from the product concept through architectural decisions and implementation to stable operation in the cloud. • You identify risks, dependencies and optimization opportunities early and actively manage them to ensure success. • You question business requirements and act as a technical sparring partner within the team, propose solutions and contribute your own ideas for new features and technical improvements. • You enjoy working in a team and collaborate closely with Product, Sales and other Engineers.

• Own the design and development of middleware for storage applications on CN platforms, with a focus on performance, scalability, and production readiness. • Work with customer-relevant storage technologies (Lustre, WEKA, BeeGFS, DAOS, etc.) to improve integration, resolve performance issues, and enable strong end-to-end behavior in distributed environments. • Analyze storage workloads, reproduce issues, develop benchmarks, and deliver fixes or enhancements based on real customer use cases and measured system behavior. • Collaborate across kernel/driver, firmware, fabric management and performance teams to support product development, ecosystem enablement, and advanced customer escalations. • Participate in design reviews, code reviews, CI, and long-term maintenance. • Contribute upstream open-source storage software projects where appropriate. • Operate as a self-motivated 'owner,' taking full responsibility for features from initial ideation through to remote deployment and maintenance.

• Collaborate with the CTO and product/engineering team to define and implement technical solutions • Own projects end-to-end — from architecture and implementation to testing and deployment — working autonomously across multiple areas of the stack • Use AI coding tools (such as Claude Code) extensively as a core part of your daily development workflow • Build and extend product modules across the full stack, including integrations, data pipelines, dashboards, and new feature development • Collaborate on CI/CD pipelines, automated testing suites, and code reviews to maintain system reliability