{"schemaVersion":"jobsearcher.job.v1","id":"7906d439bae229e2cc2ee301","url":"https://jobsearcher.com/jobs/7906d439bae229e2cc2ee301","canonicalUrl":"https://jobsearcher.com/jobs/7906d439bae229e2cc2ee301","title":"SDET with Python","description":"Overview We are seeking a highly skilled SDET with strong expertise in Python, AWS, and modern testing tools to support the development of a robust AI/ML data platform. This role focuses on building intelligent validation frameworks and infrastructure to ensure the reliability and performance of large-scale distributed systems.\r\nKey Responsibilities Design and develop high-performance tools and services to validate ML data pipelines and AI infrastructure.\r\nBuild platform-level test automation frameworks using Python, Terraform, and cloud-native practices.\r\nIntegrate automated testing, resilience checks, and observability into CI/CD pipelines.\r\nLead initiatives to embed testability and validation as code across the ML platform stack.\r\nCollaborate with engineering, MLOps, and infrastructure teams to ensure quality across platform components.\r\nDevelop reusable components to support scalable and modular quality tooling.\r\nMentor junior engineers and contribute to technical standards within the Test Engineering Program.\r\nRequired Qualifications Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field.\r\n8+ years of hands-on software development experience, including backend systems or platform engineering.\r\nExpert-level proficiency in Python and experience with testing frameworks such as Pytest and Playwright.\r\nStrong experience with AWS services including Lambda, S3, ECS/EKS, Step Functions, and CloudWatch.\r\nProficiency in Infrastructure as Code using Terraform.\r\nExperience with CI/CD tools such as GitHub Actions, Jenkins, or similar.\r\nSolid understanding of software engineering best practices including code quality, performance optimization, and observability.\r\nPreferred Qualifications Experience in test engineering for AI/ML platforms or data infrastructure.\r\nFamiliarity with MLOps practices and tools.\r\nJ-18808-Ljbffr","company":"Compunnel","rawCompany":"compunnel","city":"Jersey City","state":"NJ","isRemote":false,"isActive":false,"createdAt":"2026-07-16T01:41:56.566Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1253.00","title":"Software Quality Assurance Analysts and Testers","slug":"software-quality-assurance-analysts-and-testers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"}],"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":"SDET with Python","description":"Overview We are seeking a highly skilled SDET with strong expertise in Python, AWS, and modern testing tools to support the development of a robust AI/ML data platform. This role focuses on building intelligent validation frameworks and infrastructure to ensure the reliability and performance of large-scale distributed systems.\r\nKey Responsibilities Design and develop high-performance tools and services to validate ML data pipelines and AI infrastructure.\r\nBuild platform-level test automation frameworks using Python, Terraform, and cloud-native practices.\r\nIntegrate automated testing, resilience checks, and observability into CI/CD pipelines.\r\nLead initiatives to embed testability and validation as code across the ML platform stack.\r\nCollaborate with engineering, MLOps, and infrastructure teams to ensure quality across platform components.\r\nDevelop reusable components to support scalable and modular quality tooling.\r\nMentor junior engineers and contribute to technical standards within the Test Engineering Program.\r\nRequired Qualifications Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field.\r\n8+ years of hands-on software development experience, including backend systems or platform engineering.\r\nExpert-level proficiency in Python and experience with testing frameworks such as Pytest and Playwright.\r\nStrong experience with AWS services including Lambda, S3, ECS/EKS, Step Functions, and CloudWatch.\r\nProficiency in Infrastructure as Code using Terraform.\r\nExperience with CI/CD tools such as GitHub Actions, Jenkins, or similar.\r\nSolid understanding of software engineering best practices including code quality, performance optimization, and observability.\r\nPreferred Qualifications Experience in test engineering for AI/ML platforms or data infrastructure.\r\nFamiliarity with MLOps practices and tools.\r\nJ-18808-Ljbffr","datePosted":"2026-07-16T01:41:56.566Z","dateModified":"2026-07-16T01:41:56.566Z","hiringOrganization":{"@type":"Organization","name":"Compunnel","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Jersey City","addressRegion":"NJ","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"7906d439bae229e2cc2ee301"},"url":"https://jobsearcher.com/jobs/7906d439bae229e2cc2ee301"}}