{"schemaVersion":"jobsearcher.job.v1","id":"ae55d0a986f19818354bbb20","url":"https://jobsearcher.com/jobs/ae55d0a986f19818354bbb20","canonicalUrl":"https://jobsearcher.com/jobs/ae55d0a986f19818354bbb20","title":"Snowflake Cortex Inference Engineering","description":"The Real-Time Inference Engineering Lead is responsible for designing, building, and operationalizing scalable, low-latency model serving platforms that power real-time AI and predictive decisioning use cases. This role leads the architecture, deployment, performance optimization, resiliency, and operational governance of online inference services across cloud and on-premises environments.* Design and implement highly available, low-latency model serving architectures for real-time inference workloads.* Develop and standardize deployment patterns for scalable AI/ML services across Kubernetes-based platforms.* Lead API-based inference service design, integration, and lifecycle management.* Optimize model serving performance through latency tuning, caching strategies, autoscaling, and resource management.* Establish monitoring, observability, SLOs/SLAs, alerting, and operational runbooks for production services.* Drive load testing, capacity planning, resiliency engineering, and disaster recovery readiness.* Integrate inference platforms with CI/CD pipelines to enable automated deployments and controlled releases.* Partner with Data Science, Platform Engineering, MLOps, and Infrastructure teams to ensure reliable production model operations.* Govern operational best practices, security, reliability, and performance standards for enterprise AI deployments.* Online inference and model-serving architectures* Real-time APIs and distributed systems design* Kubernetes, container orchestration, and service mesh technologies* Autoscaling, capacity management, and workload optimization* Performance engineering, load testing, and latency optimization* Monitoring, observability, logging, tracing, and SLO management* CI/CD, DevOps, and Infrastructure-as-Code practices* Reliability engineering, fault tolerance, and resiliency patterns* Cloud and on-premises platform operations * Python, Java, Go, or similar backend development experience* Experience with MLOps platforms and enterprise AI deployment frameworks.* Hands-on experience with real-time recommendation, fraud, risk, personalization, or predictive analytics platforms.* Familiarity with GPU-based inference, model optimization, and multi-cloud deployments.A successful candidate combines AI platform engineering, distributed systems expertise, and operational excellence to deliver resilient, high-performance inference platforms that enable enterprise-scale real-time AI solutions.","company":"Cloudious","rawCompany":"cloudious","city":"Concord","state":"NC","isRemote":false,"isActive":false,"createdAt":"2026-10-24T09:29:04.450Z","occupations":[{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Snowflake Cortex Inference Engineering","description":"The Real-Time Inference Engineering Lead is responsible for designing, building, and operationalizing scalable, low-latency model serving platforms that power real-time AI and predictive decisioning use cases. This role leads the architecture, deployment, performance optimization, resiliency, and operational governance of online inference services across cloud and on-premises environments.* Design and implement highly available, low-latency model serving architectures for real-time inference workloads.* Develop and standardize deployment patterns for scalable AI/ML services across Kubernetes-based platforms.* Lead API-based inference service design, integration, and lifecycle management.* Optimize model serving performance through latency tuning, caching strategies, autoscaling, and resource management.* Establish monitoring, observability, SLOs/SLAs, alerting, and operational runbooks for production services.* Drive load testing, capacity planning, resiliency engineering, and disaster recovery readiness.* Integrate inference platforms with CI/CD pipelines to enable automated deployments and controlled releases.* Partner with Data Science, Platform Engineering, MLOps, and Infrastructure teams to ensure reliable production model operations.* Govern operational best practices, security, reliability, and performance standards for enterprise AI deployments.* Online inference and model-serving architectures* Real-time APIs and distributed systems design* Kubernetes, container orchestration, and service mesh technologies* Autoscaling, capacity management, and workload optimization* Performance engineering, load testing, and latency optimization* Monitoring, observability, logging, tracing, and SLO management* CI/CD, DevOps, and Infrastructure-as-Code practices* Reliability engineering, fault tolerance, and resiliency patterns* Cloud and on-premises platform operations * Python, Java, Go, or similar backend development experience* Experience with MLOps platforms and enterprise AI deployment frameworks.* Hands-on experience with real-time recommendation, fraud, risk, personalization, or predictive analytics platforms.* Familiarity with GPU-based inference, model optimization, and multi-cloud deployments.A successful candidate combines AI platform engineering, distributed systems expertise, and operational excellence to deliver resilient, high-performance inference platforms that enable enterprise-scale real-time AI solutions.","datePosted":"2026-10-24T09:29:04.450Z","dateModified":"2026-10-24T09:29:04.450Z","hiringOrganization":{"@type":"Organization","name":"Cloudious","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Concord","addressRegion":"NC","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"ae55d0a986f19818354bbb20"},"url":"https://jobsearcher.com/jobs/ae55d0a986f19818354bbb20"}}