Lead investigation and resolution of complex infrastructure, networking, and platform incidents, acting as a senior escalation point.
Provide technical leadership for Kubernetes platform operations and drive improvements in reliability, observability, and automation.
Mentor and support engineers, develop operational standards, and serve as a trusted technical advisor for service reliability.
Mirantis is the Kubernetes-native AI infrastructure company, enabling organizations to build and operate scalable, secure, and sovereign infrastructure for modern AI workloads. It is an established Silicon Valley leader with a focus on open-source innovation and collaboration.
Lead investigation and resolution of complex infrastructure, networking, and platform incidents.
Provide technical leadership for Kubernetes platform operations and drive automation initiatives.
Mentor engineers and develop operational standards, runbooks, and best practices.
Mirantis is the Kubernetes-native AI infrastructure company, enabling organizations to build and operate scalable, secure, and sovereign infrastructure for modern AI, machine learning, and data-intensive applications. Serving enterprises like Adobe, PayPal, and Volkswagen, Mirantis is committed to open standards and freedom from lock-in.
Lead engineering deployment, scaling, and operations of AI compute clusters with GPU fleets and bare metal environments.
Drive reliability, monitoring, automation, and incident response for AI infrastructure.
Collaborate with AI/ML, networking, and product teams to align infrastructure with business needs.
Our partner is a fast-growing cloud environment focused on building large-scale AI infrastructure. They seek a senior leader to manage engineering operations for advanced AI compute clusters.
Design, operate, and improve reliable infrastructure for AI training and inference workloads.
Build monitoring, alerting, runbooks, and incident-response practices for easier operations.
Partner with ML, research, and platform teams to translate workload needs into infrastructure improvements.
Boson AI builds production-grade AI systems that make communication with AI more natural, capable, and useful. The team is focused on infrastructure reliability, operating GPU clusters and networks for AI workloads.
Lead the design and operation of GPU infrastructure for AI workloads.
Manage Kubernetes-based environments and optimize for AI training and inference.
Define operational standards, implement monitoring, and collaborate with AI engineering teams.
ELEKS is a software engineering company that partners with enterprises to accelerate digital transformation. They have a global team of over 2,000 professionals and foster a culture of innovation and collaboration.
Lead engineers deploying, operating, and optimizing AI compute clusters at scale.
Oversee cluster reliability, GPU fleet operations, and incident response.
Coordinate with cross-functional teams to ensure cluster capabilities meet AI workloads.
Vultr makes high-performance cloud infrastructure easy to use, affordable, and locally accessible for global enterprises and AI innovators. It is the world’s largest privately-held cloud infrastructure company, trusted by hundreds of thousands of customers across 185 countries.
Build and operate production-grade model serving infrastructure using vLLM, TGI, or Triton frameworks.
Design and implement auto-scaling, multi-model architectures, and intelligent request routing for ML inference.
Optimize GPU utilization, memory efficiency, and observability to ensure low-latency, cost-effective systems.
They are a distributed cloud infrastructure startup building AI-native cloud services with GPU-powered compute. The company is well-funded, fast-scaling, and operates in a remote-first environment with a focus on sustainability and decentralization.
Operate and maintain Linux-based infrastructure, deploy and scale Kubernetes clusters, and implement automation with Ansible and GitOps.
Design networking architecture, build observability stacks, and lead incident response across the platform.
Manage virtualization layers and collaborate with development teams to optimize resource utilization and system availability.
Pragmatike develops cutting-edge solutions in Cloud Computing, focusing on ambitious projects with a culture of collaboration and innovation. The team is passionate and collaborative, working in a dynamic and flexible environment to shape tomorrow's technologies.
Define and implement SLIs/SLOs for critical services, lead incident response, and conduct blameless postmortems to drive systemic improvements.
Design and improve monitoring and alerting with Prometheus and Grafana, build internal tooling, and automate operational workflows to reduce toil.
Partner with cross-functional engineering teams to improve system resilience, contribute to architectural discussions, and strengthen production readiness standards.
Runpod provides a cloud platform for AI development, used by over one million developers for training, fine-tuning, and deploying AI models. The company is a small, remote-first team that closed a $100M Series A in June 2026, emphasizing ownership, speed, and impact at scale.
Diagnose and resolve complex production issues across Linux, Kubernetes, networking, storage, and GPU systems.
Act as a senior escalation point for critical incidents, collaborating with engineering teams on root cause analysis.
Develop tools and automation in Python, Bash, or Go to improve troubleshooting efficiency and observability.
The partner company provides advanced AI and cloud infrastructure solutions, supporting large-scale distributed computing and AI workloads. They operate in a fast-moving, collaborative environment with highly skilled engineering teams focused on cutting-edge technology and operational excellence.
Own the vision, roadmap, and priorities for k0rdent AI networking, spanning underlay fabric management, tenant connectivity, RDMA, DNS/IPAM, and network automation.
Translate requirements from GPU clouds, telcos, and enterprise platform teams into clear product direction, partnering with engineering to define requirements.
Track and shape response to emerging interconnect standards like Ultra Ethernet, UALink, and congestion control, and represent Mirantis with customers and partners.
Mirantis is the leading AI-infrastructure company, enabling organizations to build and operate scalable, secure, and sovereign infrastructure for modern AI. They are a global, distributed team committed to openness and technical excellence, serving clients like Adobe, PayPal, and Volkswagen.
Lead and scale the Forward Deployed Engineering and Technical Support teams, defining engagement models and operating standards.
Own the FDE engagement lifecycle from technical discovery to deployment guidance, ensuring customer value.
Drive operational discipline across support tools and partner with Sales, Product, and Engineering on roadmap alignment.
Runpod is the AI Developer Cloud. More than one million developers use the platform to experiment, train, deploy, and scale AI, and we are a small, remote-first team that has processed over 20 billion inference requests and closed a $100M Series A.
Design and run Kubernetes environments optimized for AI inference, retrieval, and agent execution in secure settings.
Deploy and operate open-source model stacks, model gateways, vector databases, and supporting platform components.
Build reproducible platform automation using Infrastructure as Code and GitOps approaches for stable, auditable delivery.
Deutsche Telekom IT Solutions Slovakia provides innovative information and communication technology services. It has grown to become the second largest employer in eastern Slovakia with over 3900 employees, focusing on continuous transformation and improvement.
Design and build the orchestration layer using Kubernetes, Slurm, or comparable technologies.
Build customer-facing platform APIs, CLIs, web portals, and SDKs.
Drive infrastructure-as-code, multi-tenant isolation, and platform reliability.
GPU One provides GPU-as-a-Service (GPUaaS), turning raw GPU infrastructure into a usable cloud platform. The company is building a multi-tenant orchestration layer to serve customers at scale, with a focus on platform engineering and AI infrastructure.
Participate in sales meetings, provide architectural recommendations, and build proof-of-concept solutions for onboarding high-spending customers.
Troubleshoot and resolve complex technical issues using code analysis, scripting, and log analysis.
Create and maintain technical documentation and deliver training sessions, webinars, and demos.
Runpod is the AI Developer Cloud, providing a platform for over one million developers to experiment, train, fine-tune, deploy, and scale AI. We are a small, remote-first team that takes ownership seriously, moves fast, and ships work relied on by more than a million developers daily.
Design and operate the infrastructure for a high-throughput messaging platform operating at 500K+ events/sec.
Build guardrails, runbooks, and validation gates that enable AI agents to safely execute deployments and operations.
Lead incident response and encode every fix as a new runbook and regression test.
Postscript is an AI messaging platform trusted by 20,000+ Shopify brands to drive revenue through SMS. The company is fully remote, backed by Greylock and Y Combinator, and has a culture of ownership and innovation.
Define the networking strategy and roadmap for k0rdent AI, covering GPU cluster networking and multi-tenant cloud integration.
Partner with engineering and marketing to shape requirements, positioning, and competitive differentiation.
Represent Mirantis at events and with strategic accounts, driving product success in the AI cloud era.
Mirantis is the Kubernetes-native AI infrastructure company, enabling organizations to build and operate scalable, secure, and sovereign infrastructure for modern AI and data-intensive applications. With a world-class, distributed team, Mirantis empowers platform engineering teams and is committed to openness, collaboration, and continuous growth.
Productize deployment, security, and scaling of Applied AI solutions with automation and security guardrails.
Mistral provides full-stack AI solutions from frontier models to developer tools, applications, and compute, partnering with enterprises across high-stakes industries. It is a dynamic, collaborative team with a diverse workforce distributed globally, known for being creative, low-ego, and team-spirited.
Own core compute infrastructure across multiple cloud providers and regions.
Design capabilities for greater performance and flexibility in service deployment.
Investigate and resolve challenging cloud and compute issues across the stack.
Render is a cloud platform for developers building AI-native, full-stack, multi-service applications. Trusted by over 6 million developers, the company has raised $257M in funding and values craft, velocity, and user experience.
Build enterprise-scale infrastructure using infrastructure-as-code and Kubernetes-native systems.
Sustain platform health and performance by owning critical systems in production.
Enable teams and customers to move faster with abstractions and tooling for AI/ML workloads.
Cake makes cutting-edge AI accessible to enterprise teams by removing infrastructure barriers, enabling 10x faster and cheaper AI/ML platform deployment. Backed by top investors, they have a small senior team focused on ownership and operational excellence.