{"jobs":[{"absolute_url":"https://job-boards.greenhouse.io/moonlite/jobs/4971679008","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4360890008,"location":{"name":"Chicago, IL or Remote"},"metadata":null,"id":4971679008,"updated_at":"2026-05-21T13:46:30-04:00","requisition_id":"5","title":"Senior Software Engineer, Compute Platform","company_name":"Moonlite","first_published":"2025-10-31T11:09:04-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;Moonlite delivers high-performance AI infrastructure for organizations running intensive computational research, large-scale model training, and demanding data processing workloads.We provide infrastructure deployed in our facilities or co-located in yours, delivering flexible on-demand or reserved compute that feels like an extension of your existing data center. Our team of AI infrastructure specialists combines bare-metal performance with cloud-native operational simplicity, enabling research teams and enterprises to deploy demanding AI workloads with enterprise-grade reliability and compliance.\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;Your Role:\u0026lt;/h2\u0026gt;\n\u0026lt;p\u0026gt;You will be instrumental in building out our GPU-accelerated compute platform that powers distributed AI training and inference, large-scale simulations, and computational research workloads. Working closely with product, your platform team members, and infrastructure specialists, you’ll design and implement the compute orchestration layer that manages GPU clusters, bare-metal provisioning, and resource scheduling-enabling researchers and engineers to programmatically access high-performance compute resources with cloud-like simplicity.\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;Job Responsibilities\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Compute Orchestration Systems: \u0026lt;/strong\u0026gt;Design and build scalable compute orchestration platforms that manage GPU clusters, bare-metal server provisioning, and resource allocation across co-located infrastructure environments.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Resource Management \u0026amp;amp; Scheduling:\u0026lt;/strong\u0026gt; Implement intelligent workload scheduling, resource allocation, and optimization algorithms that maximize GPU utilization while maintaining performance guarantees for research and training workloads.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Research Cluster Provisioning:\u0026lt;/strong\u0026gt; Design and implement systems for provisioning and managing research computing environments including Kubernetes and SLURM clusters, enabling automated deployment, resource scheduling, and workload orchestration for distributed AI training and HPC workloads.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;GPU Platform Engineering:\u0026lt;/strong\u0026gt; Develop platform capabilities for managing latest-generation NVIDIA GPU configurations (H100, H200, B200, B300), including GPU resource management, multi-tenant isolation, and integration with compute orchestration systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Bare-Metal Lifecycle Management:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;Build automation and tooling for complete bare-metal server lifecycle management – from initial provisioning and configuration through ongoing operations, updates, and resource reallocation.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Performance-Critical Systems: \u0026lt;/strong\u0026gt;Optimize compute platform components for high-throughput and low-latency performance, ensuring research workloads achieve near-bare-metal efficiency in virtualized or containersized environments.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Platform APIs \u0026amp;amp; Integration:\u0026lt;/strong\u0026gt; Develop robust APIs and SDKs that enable researchers to programmatically provision and manage compute resources, integrating seamlessly with existing workflows and research infrastructure.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Observability \u0026amp;amp; Monitoring:\u0026lt;/strong\u0026gt; Implement comprehensive monitoring and telemetry systems for compute resources, providing visibility into GPU virtualization, workload performance and infrastructure health.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Multi-Tenancy and Isolation: \u0026lt;/strong\u0026gt;Build enterprise-grade multi-tenant compute isolation, security boundaries, and resource quotas that enable safe sharing of GPU infrastructure across teams and organizations.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;Requirements\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Experience:\u0026lt;/strong\u0026gt; 5+ years in software engineering with proven experience building compute platforms, container orchestration systems, or distributed compute infrastructure for production environments.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Compute Platform Engineering: \u0026lt;/strong\u0026gt;Strong background in building compute orchestration, resource scheduling, or workload management systems at scale.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Kubernetes \u0026amp;amp; Container Orchestration: \u0026lt;/strong\u0026gt;Strong familiarity with Kubernetes architecture, container orchestration concepts, and experience deploying workloads in Kubernetes environments. Understanding of pods, deployments, services, and basic Kubernetes operations.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Programming Skills:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;Experience with Go, C/C++, Python, or Rust for performance-critical components is highly valued.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Linux \u0026amp;amp; Systems Programming: \u0026lt;/strong\u0026gt;Strong experience with Linux in production environments, including systems for programming, performance optimization, and low-level resource management.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Virtualization \u0026amp;amp; Containers: \u0026lt;/strong\u0026gt;Deep knowledge of virtualization technologies (KVM, Xen), container runtimes, and orchestration platforms.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;GPU Computing Fundamentals:\u0026lt;/strong\u0026gt; Understanding of GPU architectures, CUDA programming (where/when needed), and GPU resource management – or a strong ability to learn quickly.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Bare-Metal Infrastructure: \u0026lt;/strong\u0026gt;Experience with bare-metal provisioning, out-of-band management systems, and hardware abstraction layers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Problem-Solving \u0026amp;amp; Architecture: \u0026lt;/strong\u0026gt;Demonstrated ability to solve complex performance and scalability challenges while balancing pragmatic shipping with good long-term architecture.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Autonomy \u0026amp;amp; Communication: \u0026lt;/strong\u0026gt;Comfortable navigating ambiguity, defining requirements collaboratively, and communicating technical discussions through clear documentation.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Commitment to Growth: \u0026lt;/strong\u0026gt;Growth mindset with continuous focus on learning and professional development.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;Preferred Qualifications\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Background provisioning or managing research computing environments (Kubernetes, SLURM, or HPC clusters)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with GPU virtualization technologies (SR-IOV, NVIDIA vGPU) and multi-tenant GPU sharing\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Background in container orchestration platforms with custom scheduling or resource management\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Knowledge of high-performance networking for GPU communication (InfiniBand, RDMA, NVLink, NVSwitch)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with AI/ML training frameworks (PyTorch, TensorFlow) and their infrastructure requirements\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Understanding of distributed training patterns and multi-node GPU coordination\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience building infrastructure for research institutions,labs, or technical computing environments\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Background in financial services or other regulated industry infrastructure is a plus\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;Key Technologies\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Go, C/C++, Python, KVM, Docker, Kubernetes,, NVIDIA GPUDirect, SR-IOV, NVIDIA vGPU, CUDA, InfiniBand, RDMA, Terraform, FastAPI, gRPC, Linux systems programming\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;Why Moonlite\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Build Next-Generation Infrastructure: \u0026lt;/strong\u0026gt;Your work will create the platform foundation that enables financial institutions to harness AI capabilities previously impossible with traditional infrastructure.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Hands-On Ownership:\u0026lt;/strong\u0026gt; As an early engineer, you’ll have end-to-end ownership of projects and the autonomy to influence our product and technology direction.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Shape Industry Standards:\u0026lt;/strong\u0026gt; Contribute to defining how enterprise AI infrastructure should work for the most demanding regulated environments.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Collaborate with Experts:\u0026lt;/strong\u0026gt; Work alongside seasoned engineers and industry professionals passionate about high-performance computing, innovation, and problem-solving.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Start-Up Agility with Industry Impact:\u0026lt;/strong\u0026gt; Enjoy the dynamic, fast-paced environment of a startup while making an immediate impact in an evolving and critical technology space.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;We offer a competitive total compensation package combining a competitive base salary, startup equity, and industry-leading benefits. The total compensation range for this role is $165,000 – $225,000, which includes both base salary and equity. Actual compensation will be determined based on experience, skills, and market alignment. We provide generous benefits, including a 6% 401(k) match, fully covered health insurance premiums, and other comprehensive offerings to support your well-being and success as we grow together.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;#li-remote\u0026lt;/p\u0026gt;","departments":[{"id":4030427008,"name":"Engineering","child_ids":[],"parent_id":null}],"offices":[{"id":4026241008,"name":"United States (Remote)","location":null,"child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/moonlite/jobs/4978390008","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4364329008,"location":{"name":"Chicago, IL or Remote"},"metadata":null,"id":4978390008,"updated_at":"2026-05-21T13:46:30-04:00","requisition_id":"9","title":"Senior Software Engineer, Network Platform","company_name":"Moonlite","first_published":"2025-11-06T11:08:57-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;Moonlite delivers high-performance AI infrastructure for organizations running intensive computational research, large-scale model training, and demanding data processing workloads. We provide infrastructure deployed in our facilities or co-located in yours, delivering flexible on-demand or reserved compute that feels like an extension of your existing data center. Our team of AI infrastructure specialists combines bare-metal performance with cloud-native operational simplicity, enabling research teams and enterprises to deploy demanding AI workloads with enterprise-grade reliability and compliance.\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;Your Role:\u0026lt;/h2\u0026gt;\n\u0026lt;p\u0026gt;You will be foundational to building our software-defined networking (SDN) platform that enables high-performance, isolated networking for distributed computing, model training, inference, and data-intensive workloads. Working closely with our network, infrastructure, and product teams, you’ll design and implement the network orchestration and provisioning systems that manage DPU-accelerated networking, tenant isolation, and network lifecycle management – enabling researchers and engineers to access enterprise-grade networking with cloud-like simplicity.\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;Job Responsibilities:\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Software-Defined Networking Architecture:\u0026lt;/strong\u0026gt; Collaborate with infrastructure to design and build scalable SDN orchestration systems leveraging NVIDIA Bluefield-3 DPUs to deliver programmable, high-performance networking for AI workloads with hardware-accelerated forwarding isolation.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Research Cluster Networking: \u0026lt;/strong\u0026gt;Design and implement networking systems for research computing environments including Kubernetes and SLURM clusters, enabling high-performance connectivity, optimized network topology for distributed workloads, and seamless integration with cluster orchestration systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Network Provisioning \u0026amp;amp; Lifecycle Management:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;Implement automated SDN provisioning systems that handle VPC creation, subnet allocation, routing configuration, and network resource lifecycle from deployment through decommissioning.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;DPU Platform Engineering:\u0026lt;/strong\u0026gt; Develop platform capabilities for managing Bluefield-3 DPUs including SR-IOV virtual function management, OVS offload configuration, network function deployment, and integration with compute orchestration systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Multi-Tenancy \u0026amp;amp; Network Isolation: \u0026lt;/strong\u0026gt;Build enterprise-grade network isolation using VPCs, VXLAN, and hardware-accelerated forwarding to ensure complete tenant separation while maintaining high-performance connectivity for GPU clusters and distributed workloads.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;High-Performance Networking:\u0026lt;/strong\u0026gt; Collaborate with infrastructure to optimize network paths for RDMA, RoCE, and GPU-to-GPU communication, ensuring minimal latency and maximum throughput for distributed training and large-scale computational workloads.\u0026amp;nbsp;\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Network APIs \u0026amp;amp; Integration:\u0026lt;/strong\u0026gt; Develop robust APIs and SDKs for network resource management that integrate seamlessly with compute and storage platforms, enabling programmatic network provisioning and configuration.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Network Observability:\u0026lt;/strong\u0026gt; Implement comprehensive network monitoring, telemetry, and troubleshooting systems that provide visibility into network performance, utilization, and tenant traffic patterns.Security \u0026amp;amp; Policy Management: Build platform network security features including security groups, firewall rules, and policy enforcement that protect tenant workloads while enabling flexible network configuration.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;Requirements:\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Experience:\u0026lt;/strong\u0026gt; 5+ years in software engineering with proven experience building network platforms, SDN systems, or network automation for production environments.\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;whitespace-normal break-words\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Kubernetes Networking \u0026amp;amp; Container Orchestration:\u0026lt;/strong\u0026gt; Strong familiarity with Kubernetes networking architecture, CNI plugins, service networking, and network policies. Understanding of pod networking, services, ingress, and how Kubernetes manages network resources.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Networking Expertise:\u0026lt;/strong\u0026gt; Deep understanding of networking fundamentals including TCP/IP, VLANs, VXLAN, BGP, OSPF, routing protocols, and data center network architectures.Software-Defined Networking: Background in SDN concepts, network virtualization, overlay networks, and programmable networking technologies.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Programming Skills: \u0026lt;/strong\u0026gt;Experience with Go and Python\u0026amp;nbsp;for performance-critical networking components and services is highly valued.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Linux Networking: \u0026lt;/strong\u0026gt;Strong experience with Linux networking stack, including network namespaces, iptables/nftables, Open vSwitch, and kernel networking systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;DPU \u0026amp;amp; SmartNIC Experience: \u0026lt;/strong\u0026gt;Familiarity with DPU/SmartNIC architectures (Bluefield, or similar), SR-IOV, hardware offload capabilities, and programmable networking hardware – or strong ability to learn quickly.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;High-Performance Networking:\u0026lt;/strong\u0026gt; Understanding of RDMA, RoCE, Infiniband, and low-latency networking requirements for distributed computing and GPU workloads.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Problem-Solving \u0026amp;amp; Architecture: \u0026lt;/strong\u0026gt;Demonstrated ability to solve complex networking performance and scalability challenges while balancing pragmatic shipping with good long-term architecture.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Autonomy \u0026amp;amp; Communication:\u0026lt;/strong\u0026gt;\u0026amp;nbsp;Comfortable navigating ambiguity, defining requirements collaboratively, and communicating technical decisions through clear documentation.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Commitment to Growth:\u0026lt;/strong\u0026gt; Growth mindset with continuous focus on learning and professional development.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;Preferred Qualifications\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Background provisioning or managing networking for research computing environments (Kubernetes, SLURM, or HPC clusters)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with NVIDIA Bluefield DPU programming and DOCA framework\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Background with network function virtualization (NFV) and service function chaining\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Knowledge of Kubernetes networking (CNI plugins, network policies, service mesh)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience building network control planes or SDN controllers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with network automation frameworks and infrastructure-as-code for networking\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Understanding of data center fabric architectures (spine-leaf, CLOS topologies)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with network security and compliance requirements in regulated industries\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Background building networking for research institutions, HPC environments, or cloud providers\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;Key Technologies\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Go, Python, NVIDIA Bluefield DPUs, Open vSwitch, VXLAN, SR-IOV, RDMA, RoCE, InfiniBand, BGP, Linux networking, Terraform, FastAPI, gRPC\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;Why Moonlite\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Build Next-Generation Infrastructure: \u0026lt;/strong\u0026gt;Your work will create the platform foundation that enables financial institutions to harness AI capabilities previously impossible with traditional infrastructure.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Hands-On Ownership:\u0026lt;/strong\u0026gt; As an early engineer, you’ll have end-to-end ownership of projects and the autonomy to influence our product and technology direction.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Shape Industry Standards:\u0026lt;/strong\u0026gt; Contribute to defining how enterprise AI infrastructure should work for the most demanding regulated environments.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Collaborate with Experts:\u0026lt;/strong\u0026gt; Work alongside seasoned engineers and industry professionals passionate about high-performance computing, innovation, and problem-solving.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Start-Up Agility with Industry Impact:\u0026lt;/strong\u0026gt; Enjoy the dynamic, fast-paced environment of a startup while making an immediate impact in an evolving and critical technology space.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;We offer a competitive total compensation package combining a competitive base salary, startup equity, and industry-leading benefits. The total compensation range for this role is $165,000 – $225,000, which includes both base salary and equity. Actual compensation will be determined based on experience, skills, and market alignment. We provide generous benefits, including a 6% 401(k) match, fully covered health insurance premiums, and other comprehensive offerings to support your well-being and success as we grow together.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;#li-remote\u0026lt;/p\u0026gt;","departments":[{"id":4030427008,"name":"Engineering","child_ids":[],"parent_id":null}],"offices":[{"id":4026240008,"name":"Chicago (Moonlite HQ)","location":"Chicago, Illinois, United States","child_ids":[],"parent_id":null},{"id":4026241008,"name":"United States (Remote)","location":null,"child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/moonlite/jobs/4971689008","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4360894008,"location":{"name":"Chicago, IL or Remote"},"metadata":null,"id":4971689008,"updated_at":"2026-05-21T13:46:30-04:00","requisition_id":"7","title":"Senior Software Engineer, Platform Infrastructure ","company_name":"Moonlite","first_published":"2025-10-31T11:09:05-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;Moonlite delivers high-performance AI infrastructure for organizations running intensive computational research, large-scale model training, and demanding data processing workloads.We provide infrastructure deployed in our facilities or co-located in yours, delivering flexible on-demand or reserved compute that feels like an extension of your existing data center. Our team of AI infrastructure specialists combines bare-metal performance with cloud-native operational simplicity, enabling research teams and enterprises to deploy demanding AI workloads with enterprise-grade reliability and compliance.\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;Your Role:\u0026lt;/h2\u0026gt;\n\u0026lt;p\u0026gt;You will be foundational to building the comprehensive infrastructure platform that bridges our physical infrastructure –\u0026amp;nbsp; bare-metal servers, GPU clusters, high-performance storage, and networking fabric – with the systems our customers depend on for large-scale computation, inference, simulations, and training. Working closely with product, your platform team members, and infrastructure specialists, you’ll design and implement the orchestration layer, APIs, and automation framework that make thousands of servers, petabytes of storage, and high-speed networks feel like a unified, programmable platform.\u0026amp;nbsp;\u0026amp;nbsp;\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;Job Responsibilities\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Infrastructure Abstraction Layer: \u0026lt;/strong\u0026gt;Design and build systems that bridge physical infrastructure (bare-metal servers, storage clusters, network fabric) with customer-facing services, enabling programmatic management of compute, networking, and storage at scale.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Research Cluster Provisioning: \u0026lt;/strong\u0026gt;Design and implement systems for provisioning and managing research computing environments including Kubernetes and SLURM clusters, enabling automated deployment, resource scheduling, and workload orchestration for distributed AI training and HPC workloads.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Platform Orchestration:\u0026lt;/strong\u0026gt; Implement comprehensive orchestration systems that coordinate across compute, storage and networking to deliver unified experience for complex research workloads.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Network Automation \u0026amp;amp; Placement:\u0026lt;/strong\u0026gt; Design and build network provisioning automation including intelligent VM placement decisions for optimal network topology, automated VLAN and subnet configuration, and software-designed networking orchestration for high-performance interconnects.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Enterprise APIs \u0026amp;amp; SDKs:\u0026lt;/strong\u0026gt; Develop robust APIs and SDKs that enable researchers and engineering teams to programmatically provision and manage infrastructure resources across all platform domains.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Observability \u0026amp;amp; Telemetry:\u0026lt;/strong\u0026gt; Implement comprehensive observability, telemetry, and logging systems that provide visibility into infrastructure health, performance, and utilization across the infrastructure footprint.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Performance Engineering: \u0026lt;/strong\u0026gt;Build and optimize platform services that deliver consistent high-throughput low-latency networking for demand research applications and data-intensive workloads.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Cross-Team Collaboration: \u0026lt;/strong\u0026gt;Work closely with engineering, infrastructure, and product to define requirements, drive infrastructure-product-rollouts, and improve resource lifecycle management.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Compliance \u0026amp;amp; Security:\u0026lt;/strong\u0026gt; Implement platform-wide compliance and security features supporting SOC 2, ISO 27001, and enterprise regulatory requirements including comprehensive audit logging, access controls, and data residency management.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;Requirements\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Experience:\u0026lt;/strong\u0026gt; 5+ years in software engineering with a proven track record of infrastructure platforms, distributed systems, or cloud platforms for production environments.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Kubernetes \u0026amp;amp; Container Orchestration: \u0026lt;/strong\u0026gt;Strong familiarity with Kubernetes architecture, container orchestration concepts, and experience deploying workloads in Kubernetes environments. Understanding of pods, deployments, services, and basic Kubernetes operations.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Infrastructure Systems:\u0026lt;/strong\u0026gt; Strong understanding of infrastructure fundamentals including compute orchestration, storage systems, networking technologies, and how they integrate together to deliver complete platform experiences.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Programming Skills: \u0026lt;/strong\u0026gt;Experience with systems programming languages (Go, C/C++, Rust, Python) for performance-critical components is a strong plus.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Linux Production Experience:\u0026lt;/strong\u0026gt; Strong experience with linux in production environments, including systems administration, performance tuning, and troubleshooting.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Bare-Metal \u0026amp;amp; Virtualization:\u0026lt;/strong\u0026gt; Deep knowledge of bare-metal infrastructure, provisioning systems, out-of-band management, and virtualization technologies (KVM, Kubernetes, etc).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;API \u0026amp;amp; Platform Design: \u0026lt;/strong\u0026gt;Proven experience designing and building APIs, SDKs, and automation frameworks that enable programmatic infrastructure management.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Cloud Platform Knowledge:\u0026lt;/strong\u0026gt; Strong familiarity with cloud environments (AWS, GCP, Azure) and understanding of how to translate cloud-native patterns to bare-metal infrastructure.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Infrastructure Automation:\u0026lt;/strong\u0026gt; Experience with Infrastructure-as-code tools (Terraform, Ansible) and building automated deployment pipelines.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Problem Solving \u0026amp;amp; Autonomy: \u0026lt;/strong\u0026gt;Self-starter who can navigate ambiguity, balance pragmatic shipping with good long-term architecture, and independently drive complex technical initiatives.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Communication Skills:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;Strong written and verbal communication skills, including ability to write clear technical communication and collaborate across teams.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Commitment to Growth:\u0026lt;/strong\u0026gt; Growth mindset with continuous focus on learning and professional development.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;Preferred Qualifications\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Background provisioning or managing research computing environments (Kubernetes, SLURM, or HPC clusters)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience building internal platforms, infrastructure-as-a-service, or developer tooling\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Background with GPU computing platforms and AI/ML infrastructure requirements\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Knowledge of high-performance networking technologies (InfiniBand, RDMA, SR-IOV)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with observability and monitoring platforms (Prometheus, Grafana, ELK stack)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with both cloud-native and bare-metal infrastructure deployment models\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Understanding of enterprise compliance requirements and security best practices\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Extra points for experience with financial services technology infrastructure and understanding of trading system requirements\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;Key Technologies\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Go, Python, Kubernetes, Docker, Terraform, Ansible, Linux, Networking (BGP, VXLAN), Storage Systems, FastAPI, PostgreSQL, Redis, NVIDIA GPU Technologies, InfiniBand\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;Why Moonlite\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Build Next-Generation Infrastructure: \u0026lt;/strong\u0026gt;Your work will create the platform foundation that enables financial institutions to harness AI capabilities previously impossible with traditional infrastructure.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Hands-On Ownership:\u0026lt;/strong\u0026gt; As an early engineer, you’ll have end-to-end ownership of projects and the autonomy to influence our product and technology direction.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Shape Industry Standards:\u0026lt;/strong\u0026gt; Contribute to defining how enterprise AI infrastructure should work for the most demanding regulated environments.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Collaborate with Experts:\u0026lt;/strong\u0026gt; Work alongside seasoned engineers and industry professionals passionate about high-performance computing, innovation, and problem-solving.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Start-Up Agility with Industry Impact:\u0026lt;/strong\u0026gt; Enjoy the dynamic, fast-paced environment of a startup while making an immediate impact in an evolving and critical technology space.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;We offer a competitive total compensation package combining a competitive base salary, startup equity, and industry-leading benefits. The total compensation range for this role is $165,000 – $225,000, which includes both base salary and equity. Actual compensation will be determined based on experience, skills, and market alignment. We provide generous benefits, including a 6% 401(k) match, fully covered health insurance premiums, and other comprehensive offerings to support your well-being and success as we grow together.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;#li-remote\u0026lt;/p\u0026gt;","departments":[{"id":4030427008,"name":"Engineering","child_ids":[],"parent_id":null}],"offices":[{"id":4026241008,"name":"United States (Remote)","location":null,"child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/moonlite/jobs/4971694008","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4360896008,"location":{"name":"Chicago, IL or Remote"},"metadata":null,"id":4971694008,"updated_at":"2026-05-21T13:46:30-04:00","requisition_id":"8","title":"Sr. Site Reliability Engineer (SRE)","company_name":"Moonlite","first_published":"2025-10-31T11:09:07-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;Moonlite delivers high-performance AI infrastructure for organizations running intensive computational research, large-scale model training, and demanding data processing workloads.We provide infrastructure deployed in our facilities or co-located in yours, delivering flexible on-demand or reserved compute that feels like an extension of your existing data center. Our team of AI infrastructure specialists combines bare-metal performance with cloud-native operational simplicity, enabling research teams and enterprises to deploy demanding AI workloads with enterprise-grade reliability and compliance.\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;Your Role:\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;p\u0026gt;You will be instrumental in building and operating production-grade AI infrastructure with deep Kubernetes expertise at its core. Working closely with our systems engineers, network engineers, and platform engineering team, you’ll architect and operate the Kubernetes infrastructure that powers our control plane and orchestrates compute, storage, and networking at scale. This role requires deep understanding of Kubernetes internals, custom resource definitions (CRDs), storage and network integrations, and building production-grade clusters from the ground up (not just deploying in managed environments). You\u0026#39;ll ensure enterprise-grade reliability while establishing the automation, observability, and operational practices.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;Job Responsibilities\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Kubernetes Infrastructure Engineering: \u0026lt;/strong\u0026gt;Design, build, and operate production Kubernetes clusters on bare-metal infrastructure – including cluster bootstrapping, control plane architecture, etcd management, and scaling strategies for high-performance compute workloads.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Kubernetes Networking \u0026amp;amp; CNIs:\u0026lt;/strong\u0026gt; Implement and operate custom Kubernetes networking solutions with SR-IOV for high-performance GPU interconnects, multi-tenancy isolation and advanced networking policies. Configure CNI plugins and network segmentation for research workloads.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Custom Operators \u0026amp;amp; Controllers: \u0026lt;/strong\u0026gt;Develop and maintain custom Kubernetes operators and controllers for bare-metal provisioning, infrastructure lifecycle management, and resource orchestration across compute, storage, and networking domains.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;GPU Infrastructure Integration:\u0026lt;/strong\u0026gt; Deploy and optimize NVIDIA GPU operators, device plugins, and other custom scheduling logic for GPU workload placement and utilization optimization.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Platform Integration \u0026amp;amp; Storage:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;Build deep integrations between Kubernetes and underlying infrastructure including CSI drivers for storage, custom admission controllers for policy enforcement, and scheduling extensions for specialized hardware placement.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Infrastructure Automation:\u0026lt;/strong\u0026gt; Design and implement automation using Terraform, Ansible, Helm, and custom operators to orchestrate infrastructure workflows and enable deployments across multiple regions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Production Operations \u0026amp;amp; Reliability: \u0026lt;/strong\u0026gt;Manage production bare-metal infrastructure across multiple regions. Build systems ensuring high availability, fault tolerance, and graceful degradation – establishing SLIs, SLOs, and monitoring to meet enterprise reliability commitments.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Observability \u0026amp;amp; Incident Response:\u0026lt;/strong\u0026gt; Build comprehensive monitoring, logging, and alerting using Prometheus, Grafana, and ELK stack. Lead incident response, conduct postmortems, and implement preventative measures to improve reliability and reduce MTTR.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Performance \u0026amp;amp; Capacity Planning:\u0026lt;/strong\u0026gt; Identify and resolve performance bottlenecks across infrastructure domains. Monitor utilization trends, forecast capacity needs, and optimize resource allocation for various workloads.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;Requirements\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Experience: \u0026lt;/strong\u0026gt;5+ years in SRE, DevOps, or infrastructure engineering roles with proven experience operating production infrastructure at scale.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Kubernetes Infrastructure Expertise:\u0026lt;/strong\u0026gt; Deep hands-on experience building and operating production Kubernetes clusters on bare-metal infrastructure – not just deploying workloads in managed clusters. Must understand cluster bootstrapping, control plane architecture, etcd operations, and scaling strategies.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Kubernetes Internals \u0026amp;amp; Integration:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;Strong understanding of Kubernetes internals including custom resource definitions (CRDs), operators, controllers, admission webhooks, and scheduling. Experience integrating storage (CSI drivers), networking (CNI, SR-IOV), and specialized hardware (GPU device plugins) with Kubernetes.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Linux Systems Experience: \u0026lt;/strong\u0026gt;Strong fundamentals in Linux systems administration, performance tuning, troubleshooting, and automation in production environments.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Infrastructure Automation:\u0026lt;/strong\u0026gt; Proficiency with infrastructure-as-code tools (Terraform, Ansible, Helm) and building automation to reduce operational overhead.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Networking Fundamentals: \u0026lt;/strong\u0026gt;Solid understanding of networking concepts including IPAM, DNS, DHCP, VLAN/VXLAN, routing, load balancing, and experience troubleshooting network issues in production.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Observability \u0026amp;amp; Monitoring:\u0026lt;/strong\u0026gt; Experience building and maintaining comprehensive monitoring solutions using tools like Prometheus, Grafana, and centralized logging systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Reliability Practices: \u0026lt;/strong\u0026gt;Understanding of SRE principles including SLIs/SLOs/SLAs, error budgets, incident management, and blameless postmortems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Scripting \u0026amp;amp; Automation:\u0026lt;/strong\u0026gt; Strong scripting skills in Go, Python, or Bash for automation, tooling development, and operational efficiency.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Problem-Solving Under Pressure:\u0026lt;/strong\u0026gt; Demonstrated ability to troubleshoot complex issues under pressure, manage incidents effectively, and communicate clearly during outages.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Collaboration \u0026amp;amp; Communication:\u0026lt;/strong\u0026gt; Excellent communication skills and ability to work across teams including systems engineers, network engineers, and software developers.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;Preferred Qualifications\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience building custom Kubernetes operators or controllers for infrastructure orchestration\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep familiarity with Kubernetes networking (Calico, Cilium, Multus), service mesh technologies, and network policy management\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with GPU workload orchestration including NVIDIA GPU Operator, MIG, time-slicing, and device plugins\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Background with advanced Kubernetes features including custom schedulers, admission controllers, and API server extensions\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with Kubernetes cluster federation or multi-cluster management\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Knowledge of high-performance networking technologies (InfiniBand, RDMA, RoCE) and their integration with Kubernetes\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with enterprise storage systems (VAST, Lightbits, Ceph, or similar)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with configuration management at scale and GitOps practices\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Understanding of security best practices for Kubernetes and bare-metal infrastructure\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience operating infrastructure in regulated industries or co-located data center environments\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Background supporting research institutions, technical computing environments, or enterprise AI infrastructure\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;Key Technologies\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Kubernetes, Linux, Terraform, Ansible, Prometheus, Grafana, ELK Stack, Go, Python, Bash, NVIDIA GPU Technologies, High-Performance Networking, Enterprise Storage Systems\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;Why Moonlite\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Build Critical Research Infrastructure:\u0026lt;/strong\u0026gt; Your work will directly enable quantitative research teams and AI practitioners to push the boundaries of what\u0026#39;s possible in financial modeling and AI research.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Enterprise Impact:\u0026lt;/strong\u0026gt; Build and operate infrastructure that supports mission-critical research and AI workloads for leading financial institutions and research organizations.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Technical Excellence:\u0026lt;/strong\u0026gt; Join an infrastructure team focused on delivering enterprise-grade reliability while pushing the boundaries of high-performance computing capabilities.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Hands-On Ownership:\u0026lt;/strong\u0026gt; As part of our growing infrastructure team, you\u0026#39;ll have significant ownership over critical systems and the autonomy to influence our operational practices and technology choices.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Industry Leadership:\u0026lt;/strong\u0026gt; Work alongside experienced infrastructure professionals who have built and operated systems for the most demanding computing environments.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;We offer a competitive total compensation package combining a competitive base salary, startup equity, and industry-leading benefits. The total compensation range for this role is $165,000 – $225,000, which includes both base salary and equity. Actual compensation will be determined based on experience, skills, and market alignment. We provide generous benefits, including a 6% 401(k) match, fully covered health insurance premiums, and other comprehensive offerings to support your well-being and success as we grow together.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;#li-remote\u0026lt;/p\u0026gt;","departments":[{"id":4030427008,"name":"Engineering","child_ids":[],"parent_id":null}],"offices":[{"id":4026241008,"name":"United States (Remote)","location":null,"child_ids":[],"parent_id":null}]}],"meta":{"total":4}}