[Remote] Senior Software Engineer, Platform Infrastructure

Note: The job is a remote job and is open to candidates in USA. Moonlite AI delivers high-performance AI infrastructure for organizations involved in intensive computational research and data processing. They are seeking a Senior Software Engineer to build the infrastructure platform that connects physical infrastructure with customer services, focusing on automation, orchestration, and API development for large-scale computation.ResponsibilitiesDesign 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 scaleDesign 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 workloadsImplement comprehensive orchestration systems that coordinate across compute, storage and networking to deliver unified experience for complex research workloadsDesign 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 interconnectsDevelop robust APIs and SDKs that enable researchers and engineering teams to programmatically provision and manage infrastructure resources across all platform domainsImplement comprehensive observability, telemetry, and logging systems that provide visibility into infrastructure health, performance, and utilization across the infrastructure footprintBuild and optimize platform services that deliver consistent high-throughput low-latency networking for demand research applications and data-intensive workloadsWork closely with engineering, infrastructure, and product to define requirements, drive infrastructure-product-rollouts, and improve resource lifecycle managementImplement platform-wide compliance and security features supporting SOC 2, ISO 27001, and enterprise regulatory requirements including comprehensive audit logging, access controls, and data residency managementSkills5+ years in software engineering with a proven track record of infrastructure platforms, distributed systems, or cloud platforms for production environmentsStrong familiarity with Kubernetes architecture, container orchestration concepts, and experience deploying workloads in Kubernetes environments. Understanding of pods, deployments, services, and basic Kubernetes operationsStrong understanding of infrastructure fundamentals including compute orchestration, storage systems, networking technologies, and how they integrate together to deliver complete platform experiencesExperience with systems programming languages (Go, C/C++, Rust, Python) for performance-critical components is a strong plusStrong experience with linux in production environments, including systems administration, performance tuning, and troubleshootingDeep knowledge of bare-metal infrastructure, provisioning systems, out-of-band management, and virtualization technologies (KVM, Kubernetes, etc)Proven experience designing and building APIs, SDKs, and automation frameworks that enable programmatic infrastructure managementStrong familiarity with cloud environments (AWS, GCP, Azure) and understanding of how to translate cloud-native patterns to bare-metal infrastructureExperience with Infrastructure-as-code tools (Terraform, Ansible) and building automated deployment pipelinesSelf-starter who can navigate ambiguity, balance pragmatic shipping with good long-term architecture, and independently drive complex technical initiativesStrong written and verbal communication skills, including ability to write clear technical communication and collaborate across teamsGrowth mindset with continuous focus on learning and professional developmentBackground provisioning or managing research computing environments (Kubernetes, SLURM, or HPC clusters)Experience building internal platforms, infrastructure-as-a-service, or developer toolingBackground with GPU computing platforms and AI/ML infrastructure requirementsKnowledge of high-performance networking technologies (InfiniBand, RDMA, SR-IOV)Experience with observability and monitoring platforms (Prometheus, Grafana, ELK stack)Familiarity with both cloud-native and bare-metal infrastructure deployment modelsUnderstanding of enterprise compliance requirements and security best practicesExtra points for experience with financial services technology infrastructure and understanding of trading system requirementsBenefitsStartup equityA 6% 401(k) matchFully covered health insurance premiumsOther comprehensive offerings to support your well-being and success as we grow togetherCompany OverviewMoonlite AI is a technology company. It was founded in 2024, and is headquartered in Chicago, Illinois, USA, with a workforce of 2-10 employees. Its website is https://www.moonlite.ai.