{"schemaVersion":"jobsearcher.job.v1","id":"31f0004345ee89d42d63a57b","url":"https://jobsearcher.com/jobs/31f0004345ee89d42d63a57b","canonicalUrl":"https://jobsearcher.com/jobs/31f0004345ee89d42d63a57b","title":"Senior Platform Engineer: Python, DevOps & ModelOps on Azure","description":"About the role\r\nWe are seeking an experienced Senior Platform Engineer with deep expertise in Python development, DevOps, and ModelOps. You will be responsible for designing, building, and optimizing a modern platform on Databricks, ensuring robust deployment, monitoring, and governance of applications and services. This role blends software engineering, cloud-native architecture, and operational excellence in managing application lifecycle processes. You will collaborate with cross-functional teams to deliver scalable, reliable, and high-performance platform capabilities.\r\nKey Responsibilities\r\nDesign, develop, and maintain robust APIs using frameworks such as Flask, FastAPI, or Django.\r\nImplement and manage CI/CD and ModelOps pipelines for streamlined deployment, monitoring, and governance.\r\nDevelop and deploy containerized applications using Docker and Kubernetes.\r\nOperate within a cloud-native environment (preferably Azure) to deliver secure and scalable solutions.\r\nEnsure reproducibility, traceability, and compliance in application lifecycle management.\r\nRequired Skills & Experience\r\nExpert-level Python development skills.\r\nProven experience delivering production-grade APIs.\r\nStrong DevOps background, including CI/CD implementation and automation.\r\nSolid knowledge of containerization (Docker) and orchestration (Kubernetes).\r\nExperience with ModelOps practices, tools, and frameworks.\r\nExperience in cloud environments, ideally Microsoft Azure.\r\nNice to Have\r\nHands-on experience with Azure DevOps, Azure Container Registry, and Azure Key Vault.\r\nExperience with Databricks or other modern data platforms.\r\nBackground in CI/CD and ModelOps for complex applications, including automated testing and deployment.\r\nFamiliarity with MLflow or similar tools for tracking, registry, and reproducibility.\r\nIf you have any questions contact our Talent Acquisition team on ta.admin@acuityanalytics.\r\nFor more details about life at Ascent, check out our Life Page here.\r\nFor more details about Acuity Analytics please see here: Read here.\r\nJ-18808-Ljbffr","company":"Ascent Software","rawCompany":"ascent software","city":"New Bremen","state":"OH","isRemote":false,"isActive":false,"createdAt":"2026-06-25T00:40:30.316Z","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":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"}],"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":"Senior Platform Engineer: Python, DevOps & ModelOps on Azure","description":"About the role\r\nWe are seeking an experienced Senior Platform Engineer with deep expertise in Python development, DevOps, and ModelOps. You will be responsible for designing, building, and optimizing a modern platform on Databricks, ensuring robust deployment, monitoring, and governance of applications and services. This role blends software engineering, cloud-native architecture, and operational excellence in managing application lifecycle processes. You will collaborate with cross-functional teams to deliver scalable, reliable, and high-performance platform capabilities.\r\nKey Responsibilities\r\nDesign, develop, and maintain robust APIs using frameworks such as Flask, FastAPI, or Django.\r\nImplement and manage CI/CD and ModelOps pipelines for streamlined deployment, monitoring, and governance.\r\nDevelop and deploy containerized applications using Docker and Kubernetes.\r\nOperate within a cloud-native environment (preferably Azure) to deliver secure and scalable solutions.\r\nEnsure reproducibility, traceability, and compliance in application lifecycle management.\r\nRequired Skills & Experience\r\nExpert-level Python development skills.\r\nProven experience delivering production-grade APIs.\r\nStrong DevOps background, including CI/CD implementation and automation.\r\nSolid knowledge of containerization (Docker) and orchestration (Kubernetes).\r\nExperience with ModelOps practices, tools, and frameworks.\r\nExperience in cloud environments, ideally Microsoft Azure.\r\nNice to Have\r\nHands-on experience with Azure DevOps, Azure Container Registry, and Azure Key Vault.\r\nExperience with Databricks or other modern data platforms.\r\nBackground in CI/CD and ModelOps for complex applications, including automated testing and deployment.\r\nFamiliarity with MLflow or similar tools for tracking, registry, and reproducibility.\r\nIf you have any questions contact our Talent Acquisition team on ta.admin@acuityanalytics.\r\nFor more details about life at Ascent, check out our Life Page here.\r\nFor more details about Acuity Analytics please see here: Read here.\r\nJ-18808-Ljbffr","datePosted":"2026-06-25T00:40:30.316Z","dateModified":"2026-06-25T00:40:30.316Z","hiringOrganization":{"@type":"Organization","name":"Ascent Software","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New Bremen","addressRegion":"OH","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"31f0004345ee89d42d63a57b"},"url":"https://jobsearcher.com/jobs/31f0004345ee89d42d63a57b"}}