Software Engineer II

About the job

Work on the design and development of the core AI Infrastructure distributed and in-cluster services that support large scale AI training and inferencing. Develop, test, and maintain control plane services written in C#, hosted on Service Fabric or Kubernetes (AKS) clusters. Enhance systems and applications to ensure high stability, efficiency and maintainability, low latency, tight cloud security. Provide operational support and DRI (on-call) responsibilities for the service. Develop and foster a deep understanding of the AI/ML concepts, use cases, and relevant services used by our customers. Be an AI-first developer, making productive use of the available tools and actively engaging in experimentation and learning. Provide vision, expertise, and technical leadership to other team members. Embody our culture and values Bachelor's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. These requirements include, but are not limited to the following specialized security screenings: Hands-on (devops) experience with larger-scale, high-availability cloud services at the PaaS or IaaS level, based on microservices architecture, ideally related to AI infrastructure or workload hosting Proficiency with use of complex data structures and algorithms, preferably in the setting of a resource allocator/scheduler, workflow/execution orchestration engine, database engine, or similar Proficiency and thoroughness in unit testing and testability techniques Agentic development skills Experience with building and operating “stateful” and critical control plane services; handling challenges with data size and data partitioning; advanced use of a NoSQL cloud database Service reliability and fundamentals engineering; instrumentation for KPIs or performance analysis; demonstrated service and code quality mindset Applied knowledge of Kubernetes: service model, workload packaging and deployment, programmatic extensibility (CRDs, operators); or equivalent knowledge of Service Fabric; experience with any service mesh Data-driven design and troubleshooting and data analytics skills, ideally with Kusto