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.
Monitor, operate, and support production AI infrastructure platforms and resolve incidents.
Investigate performance, availability, and reliability issues across infrastructure and platform components.
Collaborate with engineering teams, hardware vendors, and data center personnel to resolve technical issues.
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. It is a Silicon Valley leader with passionate, talented colleagues, offering a competitive compensation package and strong benefits.
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 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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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 cross-team incident triage for high-impact customer outages, coordinating Engineering, Product, and Customer Experience response and contributing to root cause analysis.
Develop and maintain observability for cloud-hosted customer deployments by building and refining system monitors, dashboards, and alerting.
Serve as the senior escalation point for complex support cases in EMEA, working cases that involve deep platform internals and unusual failure modes.
Dragos defends industrial organizations that provide modern civilization necessities like water, electricity, and safe working environments. As a market leader in ICS/OT Cybersecurity, we operate globally with a remote-first culture and are looking for mission-oriented teammates who value authenticity, transparency, and trust.
Lead core infrastructure and SRE teams to ensure the highest reliability and performance for massive GPU computing demands.
Oversee HPC networking and distributed storage engine innovation to support massive multi-node AI workloads.
Build and scale a high-output engineering org while partnering cross-functionally with product and GTM leadership.
Runpod is the AI Developer Cloud, providing a platform for over one million developers to experiment, train, fine-tune, deploy, and scale AI. As a small, remote-first team that closed a $100M Series A, we move fast and take ownership seriously.
End-to-end ownership of internal orchestration platform built on event-driven architecture with Redpanda, including code, architecture, and roadmap.
Own infrastructure-as-code using Terraform Cloud, manage Kubernetes workloads with Helm, and provide self-service tooling for engineering teams.
Set SLOs, handle production on-call, lead incident response, author design docs, and operate AI-natively using tools like Cursor and Notion AI.
Velora unifies Aplos, Raisely, and Keela into one company with a shared mission to help nonprofit organizations thrive by offering fundraising, donor management, financial tracking, and communications tools. We are a financially solid company with a combined team dedicated to making nonprofit work easier, more impactful, and more sustainable.
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.
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.
Design, build, and run distributed cloud architectures and large-scale production systems.
Ensure reliability, observability, performance, and cost efficiency of the platform.
Collaborate with product and backend teams to design system architecture and optimize resource use.
Tinybird helps developers and data teams unlock the power of real-time data, enabling them to build data pipelines and innovative data products quickly. They are a remote-first company with a culture of ownership, transparency, and clear communication.