{"schemaVersion":"jobsearcher.job.v1","id":"b24ecc39fd78c708f74d4821","url":"https://jobsearcher.com/jobs/b24ecc39fd78c708f74d4821","canonicalUrl":"https://jobsearcher.com/jobs/b24ecc39fd78c708f74d4821","title":"Remote Backend Software Engineer - Web/ML Dev Ops","description":"Description\r\nCompany DescriptionChooch helps build and run Computer Vision AI applications that make cameras intelligent—enhancing productivity and revenue while reducing operational costs. Chooch has been named a leading computer vision platform by IDC.\r\nRole DescriptionWe’re looking for aBackend Software Engineer (US-based)to join our team in a full-time, remote role. You’ll build and own thebackend systems that power our Computer Vision AI platform and analytics products —including APIs, data services, model-serving integrations, and the infrastructure that enables reliable deployments for healthcare, manufacturing, and retail customers.\r\nThis role involves frequent collaboration with technical and non-technical stakeholders and close partnership with Solutions Engineering and ML teams. You’ll have significant opportunity to lead technical initiatives, improve platform reliability and scalability, and provide product feedback grounded in real-world deployments.Key ResponsibilitiesBackend Systems & API DevelopmentDesign, build, and maintainscalable backend servicesthat support CV/LLM workflows, analytics, and customer-facing applications.\r\nDevelop and evolveREST/GraphQL APIs , internal service interfaces, and event-driven integrations.\r\nImplement authentication/authorization patterns and ensure secure service-to-service communication.\r\nData Platforms & Analytics EnablementBuild and maintain thedata layer(storage, indexing, retrieval) that supports analytics, reporting, and search across CV outputs.\r\nImplementstreaming and batch pipelinesfor ingesting camera/edge events and transforming model results into customer-ready insights.\r\nDefine data contracts, schemas, and quality checks to keep downstream systems sane (because data loves chaos).\r\nModel Integration & Serving CollaborationPartner with ML engineers toproductionize model inference : deployment patterns, versioning, monitoring, and rollback strategies.\r\nIntegrate CV and LLM services into backend workflows with an emphasis onlatency, throughput, and observability .\r\nSupport experimentation while ensuring production systems remain stable and maintainable.\r\nReliability, Performance, and ObservabilityOwn service health viametrics, logs, tracing , alerting, and incident response practices.\r\nOptimize system performance across API latency, queue backlogs, database efficiency, and inference throughput.\r\nImprove platform robustness through testing strategy, CI/CD, and infrastructure-as-code collaboration.\r\nCross-Functional Delivery & Customer ImpactWork closely with Solutions Engineering to translate customer requirements into scalable backend solutions.\r\nTroubleshoot complex issues in production deployments (you won’t be alone, but youwillbe the calm voice in the room).\r\nContribute to technical roadmaps and platform standards as we scale across customers and industries.\r\nOn-Site Travel and Field Testing (Occasional)Some deployments are live with major Fortune 500 customers; occasional travel may be required to validate performance, gather requirements, and ensure systems operate reliably in real-world environments.Requirements\r\nMust-have\r\nStrong backend engineering experience building and maintaining production services and APIs.\r\nProficiency inPython(writing clean, testable, maintainable code).\r\nSolid understanding ofrelational databasesand SQL (preferablyPostgreSQL ), including schema design and query optimization.\r\nComfort operating in a Linux environment:command line , debugging, log analysis, and basic networking concepts.\r\nExperience with modern software development practices: code reviews, testing, CI/CD, and shipping iteratively.\r\nProficiency withGitand collaborative workflows (feature branches, PRs, conflict resolution).\r\nStrong problem-solving skills with a track record of diagnosing and resolving complex issues in production.\r\nClear communication skills and ability to collaborate with cross-functional partners (Solutions, ML, Product, customers).\r\nNice-to-have\r\nExperience integrating or supporting ML/CV systems in production (model serving, inference pipelines, monitoring).\r\nWorking familiarity withcomputer vision / image processinglibraries (e.g., OpenCV) to understand inputs/outputs and troubleshoot issues.\r\nExperience withcloud platforms(AWS/Azure/GCP) and deploying scalable services.\r\nExperience withcontainerization and orchestration(Docker, Kubernetes) and infrastructure best practices.\r\nExposure to frontend fundamentals (HTML/JS) enough to collaborate effectively with full-stack teammates.\r\nEducation\r\nBachelor’s or Master’s degree in Computer Science, Engineering, or a related field — or equivalent practical experience.Benefits\r\nChooch offers extensive benefits including health, dental, vision insurance, 401K with 3% match, extensive PTO, and life insurance policies included.","company":"GrabJobs","rawCompany":"grabjobs","city":"Tucson","state":"AZ","isRemote":true,"isActive":false,"createdAt":"2026-08-08T01:31:41.018Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1254.00","title":"Web Developers","slug":"web-developers"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Remote Backend Software Engineer - Web/ML Dev Ops","description":"Description\r\nCompany DescriptionChooch helps build and run Computer Vision AI applications that make cameras intelligent—enhancing productivity and revenue while reducing operational costs. Chooch has been named a leading computer vision platform by IDC.\r\nRole DescriptionWe’re looking for aBackend Software Engineer (US-based)to join our team in a full-time, remote role. You’ll build and own thebackend systems that power our Computer Vision AI platform and analytics products —including APIs, data services, model-serving integrations, and the infrastructure that enables reliable deployments for healthcare, manufacturing, and retail customers.\r\nThis role involves frequent collaboration with technical and non-technical stakeholders and close partnership with Solutions Engineering and ML teams. You’ll have significant opportunity to lead technical initiatives, improve platform reliability and scalability, and provide product feedback grounded in real-world deployments.Key ResponsibilitiesBackend Systems & API DevelopmentDesign, build, and maintainscalable backend servicesthat support CV/LLM workflows, analytics, and customer-facing applications.\r\nDevelop and evolveREST/GraphQL APIs , internal service interfaces, and event-driven integrations.\r\nImplement authentication/authorization patterns and ensure secure service-to-service communication.\r\nData Platforms & Analytics EnablementBuild and maintain thedata layer(storage, indexing, retrieval) that supports analytics, reporting, and search across CV outputs.\r\nImplementstreaming and batch pipelinesfor ingesting camera/edge events and transforming model results into customer-ready insights.\r\nDefine data contracts, schemas, and quality checks to keep downstream systems sane (because data loves chaos).\r\nModel Integration & Serving CollaborationPartner with ML engineers toproductionize model inference : deployment patterns, versioning, monitoring, and rollback strategies.\r\nIntegrate CV and LLM services into backend workflows with an emphasis onlatency, throughput, and observability .\r\nSupport experimentation while ensuring production systems remain stable and maintainable.\r\nReliability, Performance, and ObservabilityOwn service health viametrics, logs, tracing , alerting, and incident response practices.\r\nOptimize system performance across API latency, queue backlogs, database efficiency, and inference throughput.\r\nImprove platform robustness through testing strategy, CI/CD, and infrastructure-as-code collaboration.\r\nCross-Functional Delivery & Customer ImpactWork closely with Solutions Engineering to translate customer requirements into scalable backend solutions.\r\nTroubleshoot complex issues in production deployments (you won’t be alone, but youwillbe the calm voice in the room).\r\nContribute to technical roadmaps and platform standards as we scale across customers and industries.\r\nOn-Site Travel and Field Testing (Occasional)Some deployments are live with major Fortune 500 customers; occasional travel may be required to validate performance, gather requirements, and ensure systems operate reliably in real-world environments.Requirements\r\nMust-have\r\nStrong backend engineering experience building and maintaining production services and APIs.\r\nProficiency inPython(writing clean, testable, maintainable code).\r\nSolid understanding ofrelational databasesand SQL (preferablyPostgreSQL ), including schema design and query optimization.\r\nComfort operating in a Linux environment:command line , debugging, log analysis, and basic networking concepts.\r\nExperience with modern software development practices: code reviews, testing, CI/CD, and shipping iteratively.\r\nProficiency withGitand collaborative workflows (feature branches, PRs, conflict resolution).\r\nStrong problem-solving skills with a track record of diagnosing and resolving complex issues in production.\r\nClear communication skills and ability to collaborate with cross-functional partners (Solutions, ML, Product, customers).\r\nNice-to-have\r\nExperience integrating or supporting ML/CV systems in production (model serving, inference pipelines, monitoring).\r\nWorking familiarity withcomputer vision / image processinglibraries (e.g., OpenCV) to understand inputs/outputs and troubleshoot issues.\r\nExperience withcloud platforms(AWS/Azure/GCP) and deploying scalable services.\r\nExperience withcontainerization and orchestration(Docker, Kubernetes) and infrastructure best practices.\r\nExposure to frontend fundamentals (HTML/JS) enough to collaborate effectively with full-stack teammates.\r\nEducation\r\nBachelor’s or Master’s degree in Computer Science, Engineering, or a related field — or equivalent practical experience.Benefits\r\nChooch offers extensive benefits including health, dental, vision insurance, 401K with 3% match, extensive PTO, and life insurance policies included.","datePosted":"2026-08-08T01:31:41.018Z","dateModified":"2026-08-08T01:31:41.018Z","hiringOrganization":{"@type":"Organization","name":"GrabJobs","sameAs":"https://jobsearcher.com"},"jobLocationType":"TELECOMMUTE","applicantLocationRequirements":{"@type":"Country","name":"US"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Tucson","addressRegion":"AZ","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"b24ecc39fd78c708f74d4821"},"url":"https://jobsearcher.com/jobs/b24ecc39fd78c708f74d4821"}}