{"schemaVersion":"jobsearcher.job.v1","id":"f92684b00a73c0f280f4f4ad","url":"https://jobsearcher.com/jobs/f92684b00a73c0f280f4f4ad","canonicalUrl":"https://jobsearcher.com/jobs/f92684b00a73c0f280f4f4ad","title":"Infrastructure / DevOps Engineer","description":"Infrastructure / DevOps EngineerAbout DiscernisDiscernis builds AI driven document intelligence for high stakes legal work. Because our customers handle privileged and regulated matters that most cloud AI cannot touch, we run on premises and in customer controlled environments as well as in the cloud. That makes security, reliability, and reproducibility core product features, not afterthoughts. We work with AmLaw firms and enterprise legal teams where accuracy, explainability, and data control are non negotiable.The RoleYou will own the infrastructure that runs our platform in three very different places: our cloud, customer managed cloud accounts, and customer controlled hardware, including air gapped and on premises environments. The hard and interesting part of this job is making the same product deploy reliably and reproducibly on machines we do not operate. If you like turning bespoke deployments into a repeatable system, this is that job.What You Will DoPackage and ship our platform as a reproducible Kubernetes based bundle that installs cleanly on customer controlled and on premises hardwareOperate and improve Kubernetes clusters running both application services and GPU accelerated AI workloadsOwn our infrastructure as code and release process so environments are reproducible across cloud and on premBuild production grade monitoring, logging, and alerting that works even in restricted customer environmentsSupport large scale search and data infrastructure running on KubernetesDrive best practices in networking, secrets management, certificate handling, and security hardeningWhat You BringSolid experience running production KubernetesExperience with infrastructure as code tools such as Helm, Terraform, or PulumiHands on experience designing CI and CD workflowsComfort with observability stacks and production monitoringStrong networking and Linux fundamentalsBonus: GPU and AI workloads in Kubernetes, NVIDIA drivers and CUDA on bare metal, or shipping software into air gapped or customer controlled environmentsBonus: Elasticsearch or similar distributed data systemsTech EnvironmentKubernetes and K3s, Docker, NVIDIA GPUs, Elasticsearch, Terraform and Helm, CI/CD tooling, cloud and on premises environmentsApply Here: https://app.dover.com/apply/Discernis%20AI/a4bc68ad-17e8-4a2c-877f-6b9d26ceb553?rs=42706078","company":"Discernis","rawCompany":"discernis","city":"Brooklyn","state":"NY","isRemote":false,"isActive":false,"createdAt":"2026-10-06T03:46:43.521Z","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":"15-1244.00","title":"Network and Computer Systems Administrators","slug":"network-and-computer-systems-administrators"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Infrastructure / DevOps Engineer","description":"Infrastructure / DevOps EngineerAbout DiscernisDiscernis builds AI driven document intelligence for high stakes legal work. Because our customers handle privileged and regulated matters that most cloud AI cannot touch, we run on premises and in customer controlled environments as well as in the cloud. That makes security, reliability, and reproducibility core product features, not afterthoughts. We work with AmLaw firms and enterprise legal teams where accuracy, explainability, and data control are non negotiable.The RoleYou will own the infrastructure that runs our platform in three very different places: our cloud, customer managed cloud accounts, and customer controlled hardware, including air gapped and on premises environments. The hard and interesting part of this job is making the same product deploy reliably and reproducibly on machines we do not operate. If you like turning bespoke deployments into a repeatable system, this is that job.What You Will DoPackage and ship our platform as a reproducible Kubernetes based bundle that installs cleanly on customer controlled and on premises hardwareOperate and improve Kubernetes clusters running both application services and GPU accelerated AI workloadsOwn our infrastructure as code and release process so environments are reproducible across cloud and on premBuild production grade monitoring, logging, and alerting that works even in restricted customer environmentsSupport large scale search and data infrastructure running on KubernetesDrive best practices in networking, secrets management, certificate handling, and security hardeningWhat You BringSolid experience running production KubernetesExperience with infrastructure as code tools such as Helm, Terraform, or PulumiHands on experience designing CI and CD workflowsComfort with observability stacks and production monitoringStrong networking and Linux fundamentalsBonus: GPU and AI workloads in Kubernetes, NVIDIA drivers and CUDA on bare metal, or shipping software into air gapped or customer controlled environmentsBonus: Elasticsearch or similar distributed data systemsTech EnvironmentKubernetes and K3s, Docker, NVIDIA GPUs, Elasticsearch, Terraform and Helm, CI/CD tooling, cloud and on premises environmentsApply Here: https://app.dover.com/apply/Discernis%20AI/a4bc68ad-17e8-4a2c-877f-6b9d26ceb553?rs=42706078","datePosted":"2026-10-06T03:46:43.521Z","dateModified":"2026-10-06T03:46:43.521Z","hiringOrganization":{"@type":"Organization","name":"Discernis","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Brooklyn","addressRegion":"NY","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"f92684b00a73c0f280f4f4ad"},"url":"https://jobsearcher.com/jobs/f92684b00a73c0f280f4f4ad"}}