Top Tech Jobs & Startup Jobs

Develop Rust and Go control-plane microservices, Kubernetes operators, and reconciliation engines for AI infrastructure. Design APIs and architecture specifications, integrate datacenter networking operating systems and DPU platforms, instrument distributed systems with OpenTelemetry, and perform diagnostics and testing. The role requires strong Rust, Kubernetes, concurrency, distributed systems, gRPC/Protobuf, and architecture skills, with desired expertise in networking protocols, bare-metal provisioning, DPUs, Linux systems, security, and virtualization.

Design and develop Rust and Go control-plane microservices, Kubernetes operators, reconciliation engines, and APIs for bare-metal AI infrastructure. Integrate datacenter networking systems, DPUs, network operating systems, and hardware-management platforms. Build observability with OpenTelemetry, troubleshoot distributed systems, and maintain rigorous testing practices. The role requires expertise in datacenter networking protocols, Linux networking, Kubernetes, provisioning, security, virtualization, and high-performance interconnects, along with architectural documentation and open-source collaboration.

Design and build enterprise LLM-serving infrastructure on Kubernetes, including GPU scheduling, scaling, model lifecycle management, Helm packaging, offline deployments, platform integrations, and production observability. Contribute across a multi-service Go codebase, create design documentation, participate in reviews, and help guide engineering direction within an autonomous remote-first team.

Design and build enterprise LLM-serving infrastructure on Kubernetes, including GPU scheduling, deployment, scaling, model lifecycle management, Helm-based packaging, offline installations, platform integrations, and production observability. Develop across a multi-service Go codebase, contribute design documentation and reviews, and help establish engineering direction for a remote-first team.

Own the vision, roadmap, backlog, and priorities for k0rdent AI observability across GPU infrastructure and distributed AI workloads. Define integrations for metrics, tracing, logs, telemetry, and alerting across Kubernetes, networking, storage, schedulers, inference platforms, and databases. Partner with engineering, marketing, field teams, customers, and ecosystem vendors to shape requirements, evaluate trade-offs, develop positioning, and support deployments.

Deploys, integrates, operates, and tunes high-performance NFS storage for Kubernetes, GPU, and AI workloads. Responsibilities include CSI integration, Linux and network optimization, storage lifecycle management, air-gapped platform support, infrastructure-as-code, GitOps automation, observability, and troubleshooting distributed storage performance and reliability across hybrid, edge, and bare-metal environments.

Deploy, integrate, operate, and optimize high-performance NFS storage for GPU-accelerated Kubernetes and AI platforms. Configure Linux storage and networking, integrate CSI storage into k0s and K0rdent clusters, automate provisioning through Terraform/OpenTofu and GitOps, and build observability for capacity, performance, and reliability. Diagnose end-to-end storage issues across hybrid, edge, and air-gapped environments while establishing operational standards.

Build and extend Go services, database schemas, REST APIs, Kubernetes tooling, tests, automation, SDKs, and documentation for a multi-tenant AI infrastructure platform. Debug issues across application and Kubernetes layers, participate in code reviews, and ship production features within an agile, distributed team. The role emphasizes learning quickly, strong computer science fundamentals, testing, infrastructure curiosity, and self-directed problem solving.

Lead go-to-market strategy and technical content for Mirantis’s k0rdent AI infrastructure platform. Develop positioning, blogs, tutorials, solution briefs, case studies, launch kits, and sales enablement assets for technical buyers. Collaborate with engineering, product, sales, and solution architects; create hands-on product content; support customer references; and use content performance data to optimize campaigns and asset mix.

Own the technical go-to-market strategy for k0rdent AI by creating white papers, demos, benchmarks, competitive analyses, and certification materials. Validate technical claims through hands-on lab testing, engage customers and prospects in architecture reviews, enable sales engineers with POC plans and sizing models, support analyst and conference briefings, and provide roadmap feedback to product management. The role requires deep Kubernetes, GPU infrastructure, high-performance networking, AI platform, and technical content expertise.