Top Tech Jobs & Startup Jobs

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.

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.

Own the vision, roadmap, and feature priorities for Mirantis’s Kubernetes-as-a-Service offering for AI infrastructure providers. Translate customer and partner requirements into scalable cluster lifecycle, multi-tenancy, GPU, security, upgrade, and add-on capabilities. Collaborate with engineering, architecture, marketing, field teams, and ecosystem partners. Define positioning, packaging, competitive differentiation, technical collateral, and go-to-market strategy while supporting strategic accounts and representing the product externally.

Define and operationalize reliability for a GPU-accelerated AI platform by creating SLIs, SLOs, error-budget practices, and high-quality alerting. Build APIs exposing reliability state to platform administrators, partner with infrastructure, storage, and networking teams on telemetry, and diagnose observability and performance issues across Kubernetes, bare-metal, and NVIDIA infrastructure in hybrid, edge, and air-gapped environments.

Own the sustained technical relationships for 5–8 strategic enterprise customers post-sale. Lead architecture reviews, upgrade planning, health checks, technical adoption, troubleshooting escalations, and product feedback across Mirantis OpenStack and Kubernetes platforms. Partner with customer engineering teams, Product, Engineering, Support, and account teams to remove technical blockers, expand platform usage, improve resolution times, and create reusable best practices. Travel to customer sites approximately 20–30% of the time.

Design and build Go-based control-plane services, CSI drivers, storage integrations, observability tools, and infrastructure automation for Kubernetes AI platforms. Integrate enterprise and scale-out storage, support bare-metal and hybrid provisioning, and deliver declarative Terraform/OpenTofu and GitOps workflows. Architect reliable storage solutions for Kubernetes clusters, air-gapped environments, and sovereign infrastructure, including artifact mirrors and PKI/TLS.

Provide solutions architecture and technical guidance to enterprise customers for Mirantis Kubernetes Engine. Lead POCs and pilots, enable partners, develop best-practice assets, and advocate customer needs across Sales, Product, and Engineering throughout the sales and post-sales lifecycle.

Own the networking vision and roadmap for k0rdent AI, defining underlay/overlay fabrics, RDMA, DNS/IPAM, network automation, and DPU/SmartNIC integration. Translate customer and engineering requirements into priorities, track emerging interconnect standards, and support positioning, field engagements, and reference architectures.

Design, deploy, manage, and troubleshoot high-performance InfiniBand and Ethernet networks for HPC. Perform performance tuning, capacity planning, and monitoring. Implement Fortinet security, resolve routing/switching/latency issues, collaborate with compute and storage teams, document architectures, and participate in on-call escalation and upgrades.