{"schemaVersion":"jobsearcher.job.v1","id":"de8abe38462bd93a141375cd","url":"https://jobsearcher.com/jobs/de8abe38462bd93a141375cd","canonicalUrl":"https://jobsearcher.com/jobs/de8abe38462bd93a141375cd","title":"Senior Python Engineer (Agent & Infrastructure)","description":"About the companyWe’re working with a top AI infrastructure platform that’s on track to 3X last year’s ARR. Their software sits underneath how ML teams run their work. It schedules jobs, manages GPU fleets and moves experiments from laptop to cluster, across cloud, on-prem and Kubernetes. Teams from fast-moving startups to large enterprises run production workloads on it.About the roleYou’ll own the execution layer of the platform: the components that spin up containers, manage GPUs and tunnel connections so everything works across very different environments. The role sits between software engineering and DevOps. You’ll write Python that orchestrates infrastructure, manages Docker containers, talks to the Kubernetes API and handles low-level networking.ResponsibilitiesAgent development: design and optimize the agent, a Python service that pulls jobs, sets up environments and executes ML pipelinesKubernetes integration: write logic that talks directly to the K8s APIs, manage pod lifecycles and handle CRDsResource management: implement dynamic allocation of GPU, CPU and memory, and container orchestrationSystems programming: build robust daemons and services that interact with OS-level primitives (systemd, signals, I/O streams)Networking: troubleshoot and optimize TCP/IP connections, DNS resolution and firewall traversal so users stay connectedRequirements8+ years of development experience, with a strong focus on systems programmingKubernetes mastery: a deep understanding of the architecture, beyond writing YAML. You know how to write code that controls K8sContainer internals: extensive Docker experience, including building and maintaining imagesPython for systems: automation, daemons or CLI tools, using libraries like subprocess, socket and asyncioNetworking fundamentals: HTTP/S, WebSockets, TCP/IP, proxies and reverse proxiesOS knowledge: strong Linux internals and shell scriptingNice to haveGPU hardware management (NVIDIA drivers, CUDA, NVIDIA Container Toolkit)Building Kubernetes operators or controllers (Kopf or Operator SDK)Background in HPC, Slurm or MPIGo, for specific K8s components","company":"Hone","rawCompany":"hone","city":"Littleton","state":"CO","isRemote":false,"isActive":false,"createdAt":"2026-11-05T07:48:21.686Z","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":"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":"Senior Python Engineer (Agent & Infrastructure)","description":"About the companyWe’re working with a top AI infrastructure platform that’s on track to 3X last year’s ARR. Their software sits underneath how ML teams run their work. It schedules jobs, manages GPU fleets and moves experiments from laptop to cluster, across cloud, on-prem and Kubernetes. Teams from fast-moving startups to large enterprises run production workloads on it.About the roleYou’ll own the execution layer of the platform: the components that spin up containers, manage GPUs and tunnel connections so everything works across very different environments. The role sits between software engineering and DevOps. You’ll write Python that orchestrates infrastructure, manages Docker containers, talks to the Kubernetes API and handles low-level networking.ResponsibilitiesAgent development: design and optimize the agent, a Python service that pulls jobs, sets up environments and executes ML pipelinesKubernetes integration: write logic that talks directly to the K8s APIs, manage pod lifecycles and handle CRDsResource management: implement dynamic allocation of GPU, CPU and memory, and container orchestrationSystems programming: build robust daemons and services that interact with OS-level primitives (systemd, signals, I/O streams)Networking: troubleshoot and optimize TCP/IP connections, DNS resolution and firewall traversal so users stay connectedRequirements8+ years of development experience, with a strong focus on systems programmingKubernetes mastery: a deep understanding of the architecture, beyond writing YAML. You know how to write code that controls K8sContainer internals: extensive Docker experience, including building and maintaining imagesPython for systems: automation, daemons or CLI tools, using libraries like subprocess, socket and asyncioNetworking fundamentals: HTTP/S, WebSockets, TCP/IP, proxies and reverse proxiesOS knowledge: strong Linux internals and shell scriptingNice to haveGPU hardware management (NVIDIA drivers, CUDA, NVIDIA Container Toolkit)Building Kubernetes operators or controllers (Kopf or Operator SDK)Background in HPC, Slurm or MPIGo, for specific K8s components","datePosted":"2026-11-05T07:48:21.686Z","dateModified":"2026-11-05T07:48:21.686Z","hiringOrganization":{"@type":"Organization","name":"Hone","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Littleton","addressRegion":"CO","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"de8abe38462bd93a141375cd"},"url":"https://jobsearcher.com/jobs/de8abe38462bd93a141375cd"}}