{"schemaVersion":"jobsearcher.job.v1","id":"d2cfe9d7fe7bebfc1128ac95","url":"https://jobsearcher.com/jobs/d2cfe9d7fe7bebfc1128ac95","canonicalUrl":"https://jobsearcher.com/jobs/d2cfe9d7fe7bebfc1128ac95","title":"Staff Backline Engineer – ML/AI","description":"Overview\nIn this role you will act as a bridge between frontline support and engineering, tackling high-priority issues in the Data & AI ecosystem. You’ll perform deep-dive analysis and root-cause investigations to stabilize large-scale production workloads, while collaborating with product and engineering teams to improve the platform. You’ll develop tooling and automation to streamline troubleshooting and scale the organization. This is a hands-on role with impact on reliability, performance, and customer satisfaction.\n\nResponsibilitiesDeep dive forensics into Spark core internals and the Databricks Data & AI ecosystem to resolve architectural failures and anomaliesPerform advanced code-level root-cause analysis and resource profiling to ensure stability of high-scale workloadsOptimize architectural performance by refining execution parameters and best-practice strategiesInfluence product roadmap through analysis of global issue trends and collaboration with Product EngineeringDevelop reproduction frameworks, automated workflows, and AI-driven diagnostic tools to standardize resolutions\nKey requirements10+ years of relevant experienceSpecialization in one of three tracks (Data Engineering Track OR Product Supportability Track OR AI Track)Experience managing both customers and technical stakeholderscustomer-obsessedstrong problem-solving abilitiesmentoring and guiding othersSpark, Delta Lake, Hive (Data Engineering Track)Python, SQL, Scala (data engineering or code-level tasks)Java, Scala, Python (distributed systems and profiling)","company":"Databricks","rawCompany":"databricks","city":"Millbrae","state":"CA","isRemote":false,"isActive":true,"createdAt":"2026-09-22T03:33:17.544Z","occupations":[{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"}],"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":"Staff Backline Engineer – ML/AI","description":"Overview\nIn this role you will act as a bridge between frontline support and engineering, tackling high-priority issues in the Data & AI ecosystem. You’ll perform deep-dive analysis and root-cause investigations to stabilize large-scale production workloads, while collaborating with product and engineering teams to improve the platform. You’ll develop tooling and automation to streamline troubleshooting and scale the organization. This is a hands-on role with impact on reliability, performance, and customer satisfaction.\n\nResponsibilitiesDeep dive forensics into Spark core internals and the Databricks Data & AI ecosystem to resolve architectural failures and anomaliesPerform advanced code-level root-cause analysis and resource profiling to ensure stability of high-scale workloadsOptimize architectural performance by refining execution parameters and best-practice strategiesInfluence product roadmap through analysis of global issue trends and collaboration with Product EngineeringDevelop reproduction frameworks, automated workflows, and AI-driven diagnostic tools to standardize resolutions\nKey requirements10+ years of relevant experienceSpecialization in one of three tracks (Data Engineering Track OR Product Supportability Track OR AI Track)Experience managing both customers and technical stakeholderscustomer-obsessedstrong problem-solving abilitiesmentoring and guiding othersSpark, Delta Lake, Hive (Data Engineering Track)Python, SQL, Scala (data engineering or code-level tasks)Java, Scala, Python (distributed systems and profiling)","datePosted":"2026-09-22T03:33:17.544Z","dateModified":"2026-09-22T03:33:17.544Z","hiringOrganization":{"@type":"Organization","name":"Databricks","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Millbrae","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"d2cfe9d7fe7bebfc1128ac95"},"url":"https://jobsearcher.com/jobs/d2cfe9d7fe7bebfc1128ac95"}}