Top Tech Jobs & Startup Jobs

Design, build, and operate large-scale observability platforms covering metrics, logging, tracing, and alerting. Develop high-volume telemetry pipelines, implement SLO/SLI frameworks, improve incident detection and resolution, integrate incident-management workflows, and ensure platform reliability, scalability, security, and cost efficiency. Partner with operations teams, document architecture and runbooks, and contribute to AI-assisted operations capabilities.

Design, build, and operate large-scale observability platforms covering metrics, logging, tracing, alerting, and telemetry pipelines. Define SLOs, SLIs, error budgets, and high-signal alerting strategies while improving incident detection and resolution. Integrate observability with incident management, support AI-assisted operations, and ensure platform reliability, scalability, security, and cost efficiency. Collaborate with operations teams and document architecture, runbooks, and operating practices.

Designs, builds, and operates observability platforms for large-scale, globally distributed infrastructure. Responsibilities include metrics, logging, tracing, telemetry pipelines, SLO/SLI frameworks, alerting, incident-management integrations, and reliability improvements that reduce MTTD and MTTR. The role partners with operations teams, supports AI-assisted operations initiatives, and owns the observability stack’s scalability, security, documentation, and operational practices.

Design, build, and operate large-scale observability platforms covering metrics, logs, traces, and alerting. Develop high-volume telemetry pipelines, SLO/SLI frameworks, and low-noise alerting strategies. Integrate observability with incident management, improve MTTD and MTTR, and ensure platform reliability, scalability, security, and maintainability. Partner with operations teams and contribute to AI-assisted triage and anomaly-detection capabilities.

Prospect inbound and outbound leads through phone and email, qualify prospects, schedule meetings and solution demos for Account Executives, manage lead conversion processes, communicate Mirantis offerings and competitive positioning, maintain accurate prospect activity in Salesforce, and achieve or exceed monthly sales quotas.

Design and implement infrastructure services for a GPU-as-a-Service platform. Build REST and gRPC APIs, bare-metal provisioning workflows, Kubernetes cluster lifecycle services, reconciliation loops, reliability mechanisms, and interfaces for hardware and cluster health. The role requires Go, Kubernetes controller patterns, bare-metal provisioning, asynchronous systems, and experience with infrastructure technologies such as Metal3, Cluster API, and Temporal.

Own strategic technology partner relationships and develop joint business plans, go-to-market motions, co-marketing campaigns, and sales plays. Drive partner-sourced and partner-influenced pipeline, revenue, and product adoption through account alignment and complex deal support. Influence product integrations and roadmap priorities, enable sales teams, engage partner executives, and coordinate with Marketing, Finance, RevOps, Product, and Engineering. Establish metrics, reporting, partner cadences, and repeatable engagement models.

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.

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.