Senior Software Engineer

Company Description Open Innovation AI is a global technology company that specializes in developing advanced solutions for managing AI workloads. Its flagship product, the Open Innovation Cluster Manager (OICM), orchestrates complex AI tasks efficiently across diverse infrastructures. The platform is hardware-agnostic, optimized for various GPUs and accelerators hardware, and facilitates seamless integration and scalability for enterprise AI applications. Open Innovation AI focuses on optimizing and simplifying AI workload management and making AI technologies accessible to organizations of all sizes. With its innovative solutions, companies can reduce operational costs, accelerate time to value, and maximize their return on investment, ensuring that their AI strategies contribute directly to enhanced business outcomes.Role Overview:Are you passionate about building robust, scalable infrastructure that powers machine learning at scale? Join our team as a Senior Software Engineer – ML Infrastructure and take part in developing high-performance systems that enable the training, deployment, and monitoring of cutting-edge ML models. From building datasets to supporting production workloads, your work will be critical to our AI capabilities.Requirements: Design and build services and infrastructure for training and fine-tuning large neural networksDevelop tools for managing datasets, ensuring quality, consistency, and reproducibilityImplement scalable, automated deployment systems for complex ML modelsDrive the full software development lifecycle—from design and implementation to CI/CD and monitoringCollaborate closely with ML engineers, data scientists, and platform teams to align infrastructure with business goalsWrite clean, maintainable, and well-tested code to ensure long-term sustainabilityQualifications 5+ years of professional software development experienceStrong Python backend development skills (Most Critical)Solid understanding of Linux systems and networking fundamentalsDeep knowledge of object-oriented programming, design patterns, algorithms, and data structuresHands-on experience with cloud platforms (AWS, Azure, or GCP)Proficiency with containerization and orchestration technologies like Docker, Kubernetes, or OpenShiftFamiliarity with CI/CD tools such as GitLab and ArgoCDExperience monitoring production systems using metrics, logging, and alerting toolsBachelor’s degree in computer science, Engineering, or a related field