Moonlite
AI infrastructure
SeniorSoftwareEngineer,PlatformInfrastructure
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“Senior Software Engineer, Platform Infrastructure at Moonlite. Skills: Platform Infrastructure, Kubernetes, API Design, Automation. Design and build infrastructure abstraction layer. Design and implement research cluster provisioning systems”
What You'll Achieve.
deliver flexible on-demand or reserved compute; enabling research teams and enterprises to deploy demanding AI workloads; feel like a unified, programmable platform; deliver unified experience for complex research workloads; deliver consistent high-throughput low-latency networking; improve resource lifecycle management; support SOC 2, ISO 27001, and enterprise regulatory requirements; enable financial institutions to harness AI capabilities
Industry & Context.
navigate ambiguity; balance pragmatic shipping with good long-term architecture; problem-solving
What They're Looking For.
Must Have
5+ years in software engineering, proven track record of infrastructure platforms, distributed systems, or cloud platforms for production environments, Kubernetes architecture, container orchestration concepts, deploying workloads in Kubernetes environments, pods, deployments, services, and basic Kubernetes operations, infrastructure fundamentals including compute orchestration, storage systems, networking technologies, systems programming languages (Go, C/C++, Rust, Python), linux in production environments, systems administration, performance tuning, troubleshooting, bare-metal infrastructure, provisioning systems, out-of-band management, virtualization technologies (KVM, Kubernetes, etc), designing and building APIs, SDKs, and automation frameworks, cloud environments (AWS, GCP, Azure), translate cloud-native patterns to bare-metal infrastructure, Infrastructure-as-code tools (Terraform, Ansible), building automated deployment pipelines, Self-starter who can navigate ambiguity, balance pragmatic shipping with good long-term architecture, independently drive complex technical initiatives, written and verbal communication skills, write clear technical communication, collaborate across teams, Growth mindset with continuous focus on learning and professional development
Nice to Have
provisioning or managing research computing environments (Kubernetes, SLURM, or HPC clusters), building internal platforms, infrastructure-as-a-service, or developer tooling, GPU computing platforms and AI/ML infrastructure requirements, high-performance networking technologies (InfiniBand, RDMA, SR-IOV), observability and monitoring platforms (Prometheus, Grafana, ELK stack), cloud-native and bare-metal infrastructure deployment models, enterprise compliance requirements and security best practices, financial services technology infrastructure, trading system requirements
What You'll Do.
Design and build infrastructure abstraction layer
Design and implement research cluster provisioning systems
Implement platform orchestration systems
Design and build network provisioning automation
Develop enterprise APIs and SDKs
Implement observability
Build and optimize platform services
Implement platform-wide compliance and security features
How You'll Work.
Team & Collaboration
Working closely with product; platform team members; infrastructure specialists; Cross-Team Collaboration; collaborate across teams
Communication Scope
written and verbal communication skills; write clear technical communication
Process & Methodology
independently drive complex technical initiatives
Full Job Description
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. Your Role: You will be foundational to building the comprehensive infrastructure platform that bridges our physical infrastructure – 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. Job Responsibilities Infrastructure Abstraction Layer: 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. Research Cluster Provisioning: 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. Platform Orchestration: Implement comprehensive orchestration systems that coordinate across compute, storage and networking to deliver unified experience for complex research workloads. Network Automati
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