{"schemaVersion":"jobsearcher.job.v1","id":"6eaf224b77a8d249af705439","url":"https://jobsearcher.com/jobs/6eaf224b77a8d249af705439","canonicalUrl":"https://jobsearcher.com/jobs/6eaf224b77a8d249af705439","title":"Senior DevOps/MLOps Engineer","description":"Senior DevOps / MLOps Engineer\nAlgorized is a VC-funded Silicon Valley deep-tech company with Swiss roots building edge-AI models that give robots real-time human awareness using existing wireless sensors - enabling safer human-machine co-presence.\n\nAs we continue to scale rapidly, we are looking for a Senior DevOps/MLOps Engineer for our office at Etoy, Switzerland who is genuine passionate about innovation, product development and building robust systems end-to-end. If you thrive in dynamic startup environment, take ownership, and know to seamlessly connect backend, frontend, and embedded systems, we’d love to meet you.\nLOCATION\nOn-Site/Campbell, CA\nEMPLOYMENT TYPE\nFull Time\nResponsibilities\nAWS & ML Infrastructure: Build, own, and scale the end-to-end AWS cloud infrastructure (including compute, container orchestration, and provisioning databases for both real-time serving and large-scale ML data storage).\n\nMLOps Pipelines: Provide and maintain tooling, templates, and best practices for ML workflows, including model versioning, automated training pipelines, and serving endpoints (e.g., using SageMaker).\n\nCI/CD & Automation: Create and manage comprehensive CI/CD pipelines to support fast, reliable deployments of our cloud platform and ML services.\n\nSystem Integrations: Write integration code and APIs to seamlessly connect our ML cloud environments with customer systems and edge/embedded devices.\n\nMonitoring & Reliability: Monitor, troubleshoot, and continuously improve production systems with a strict focus on system performance, security, and AWS cost-optimization.\n\nCross-Functional Collaboration: Actively participate in the integration of real-time solutions, working closely with data scientists and embedded engineers to deliver on customer needs.\nQualifications\nMinimum Requirements\nMSc in Computer Science, Engineering, or a relevant field (or equivalent practical experience) with 5+ years of experience in DevOps, Cloud Engineering, or MLOps.\n\nDeep, hands-on expertise with AWS services (EC2, S3, IAM, ECR, ECS/EKS, SageMaker).\n\nStrong programming proficiency in Python and Bash, combined with working knowledge/experience in C/C++ to collaborate effectively with our embedded engineering teams.\n\nStrong proficiency in writing Infrastructure as Code (Terraform, CloudFormation, or equivalent).\n\nProven experience designing and maintaining CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins, or similar).\n\nExtensive experience with containerized environments (Docker) and container orchestration (Kubernetes/EKS).\n\nPractical experience supporting machine learning deployment workflows and model serving.\n\nStrong problem-solving skills with the ability to document systems and infrastructure clearly.\n\nPreferred Requirements\n\nDirect experience deploying to embedded real-time systems or edge devices.","company":"Algorized","rawCompany":"algorized","city":"Campbell","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-08-05T12:42:56.348Z","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":"15-1211.00","title":"Computer Systems Analysts","slug":"computer-systems-analysts"}],"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":"518210","title":"Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services","slug":"computing-infrastructure-providers-data-processing-web-hosting-and-related-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Senior DevOps/MLOps Engineer","description":"Senior DevOps / MLOps Engineer\nAlgorized is a VC-funded Silicon Valley deep-tech company with Swiss roots building edge-AI models that give robots real-time human awareness using existing wireless sensors - enabling safer human-machine co-presence.\n\nAs we continue to scale rapidly, we are looking for a Senior DevOps/MLOps Engineer for our office at Etoy, Switzerland who is genuine passionate about innovation, product development and building robust systems end-to-end. If you thrive in dynamic startup environment, take ownership, and know to seamlessly connect backend, frontend, and embedded systems, we’d love to meet you.\nLOCATION\nOn-Site/Campbell, CA\nEMPLOYMENT TYPE\nFull Time\nResponsibilities\nAWS & ML Infrastructure: Build, own, and scale the end-to-end AWS cloud infrastructure (including compute, container orchestration, and provisioning databases for both real-time serving and large-scale ML data storage).\n\nMLOps Pipelines: Provide and maintain tooling, templates, and best practices for ML workflows, including model versioning, automated training pipelines, and serving endpoints (e.g., using SageMaker).\n\nCI/CD & Automation: Create and manage comprehensive CI/CD pipelines to support fast, reliable deployments of our cloud platform and ML services.\n\nSystem Integrations: Write integration code and APIs to seamlessly connect our ML cloud environments with customer systems and edge/embedded devices.\n\nMonitoring & Reliability: Monitor, troubleshoot, and continuously improve production systems with a strict focus on system performance, security, and AWS cost-optimization.\n\nCross-Functional Collaboration: Actively participate in the integration of real-time solutions, working closely with data scientists and embedded engineers to deliver on customer needs.\nQualifications\nMinimum Requirements\nMSc in Computer Science, Engineering, or a relevant field (or equivalent practical experience) with 5+ years of experience in DevOps, Cloud Engineering, or MLOps.\n\nDeep, hands-on expertise with AWS services (EC2, S3, IAM, ECR, ECS/EKS, SageMaker).\n\nStrong programming proficiency in Python and Bash, combined with working knowledge/experience in C/C++ to collaborate effectively with our embedded engineering teams.\n\nStrong proficiency in writing Infrastructure as Code (Terraform, CloudFormation, or equivalent).\n\nProven experience designing and maintaining CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins, or similar).\n\nExtensive experience with containerized environments (Docker) and container orchestration (Kubernetes/EKS).\n\nPractical experience supporting machine learning deployment workflows and model serving.\n\nStrong problem-solving skills with the ability to document systems and infrastructure clearly.\n\nPreferred Requirements\n\nDirect experience deploying to embedded real-time systems or edge devices.","datePosted":"2026-08-05T12:42:56.348Z","dateModified":"2026-08-05T12:42:56.348Z","hiringOrganization":{"@type":"Organization","name":"Algorized","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Campbell","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"6eaf224b77a8d249af705439"},"url":"https://jobsearcher.com/jobs/6eaf224b77a8d249af705439"}}