Top Tech Jobs & Startup Jobs

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.

Own the vision, roadmap, backlog, and priorities for k0rdent AI storage across GPU clusters. Define capabilities for parallel file systems, object and block storage, tiering, snapshots, data protection, and GPU-optimized data paths. Translate customer requirements into product direction, partner with engineering on scalable storage features, develop positioning and field assets, support strategic accounts, and represent Mirantis with customers, analysts, and ecosystem partners.

Advises enterprise customers on aligning infrastructure and platform technology with business objectives. Assesses current-state landscapes, application portfolios, constraints, and pain points; develops target architectures and modernization roadmaps; and recommends secure, stable, future-proof cloud platforms. Presents architecture and rationale to executives and engineers, collaborates with product and delivery teams, serves as a trusted advisor, and engages customers onsite during discovery, design, and advisory work.

Leads and builds a sales engineering and solutions architecture team for AI/GPU cloud infrastructure. Owns technical strategy for complex enterprise deals, including solution architecture, sizing, capacity planning, TCO modeling, qualification, POCs, benchmarks, and technical close. Partners with account executives, NVIDIA, product, platform, and capacity teams while influencing roadmap and packaging. Requires hands-on distributed training and inference experience, deep NVIDIA platform expertise, and a track record supporting long-cycle, high-value B2B infrastructure sales.

Provide on-site IT support at Mirantis HQ in Campbell, CA: troubleshoot hardware/software, provision devices, manage onboarding/offboarding, support conference room AV, track assets, assist executives, act as local remote-hands, and maintain documentation while collaborating with a distributed IT team.

Coordinate recruiting operations for senior recruiters by managing applicant processing, complex interview scheduling across global time zones, live coding setups, executive panels, candidate communications, interview preparation, virtual meeting rooms, feedback collection, and ATS data accuracy. The role keeps hiring pipelines moving while providing organized, responsive candidate care and supporting recruiters and hiring managers in a fast-paced technology hiring environment.

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.

Design and implement hardened Kubernetes integrations and automation pipelines for hybrid-cloud AI workloads. Provide operational support, troubleshoot production systems, collaborate with customers and engineering teams, and contribute to open-source projects to scale AI infrastructure.