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.
Monitor, operate, and support production AI infrastructure platforms.
Investigate and resolve infrastructure, networking, hardware, and platform-related incidents.
Collaborate with engineering teams, hardware vendors, and datacenter personnel to resolve technical issues.
Mirantis is the Kubernetes-native AI infrastructure company, enabling organizations to build and operate scalable, secure infrastructure for AI and data-intensive applications. The company is growing and invests heavily in AI infrastructure and platform services.
Lead the investigation and resolution of complex infrastructure, networking, and platform-related incidents.
Provide technical leadership for Kubernetes platform operations and supporting infrastructure services.
Mentor and support AI Infrastructure & Platform Operations Engineers, sharing technical knowledge through documentation and training.
Mirantis helps organizations ship code faster on public and private clouds, providing a public cloud experience on any infrastructure from the data center to the edge. The company serves many of the world's leading enterprises, including Adobe, DocuSign, Liberty Mutual, and PayPal, and is a leader in container management.
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 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.
Own performance optimization and reliability of large-scale GPU clusters and InfiniBand networking for HPC workloads.
Diagnose and resolve complex system-level issues across GPU, network, and compute layers, integrating new hardware components.
Develop automation for monitoring, fault detection, and proactive remediation in distributed compute environments.
Our partner is building a next-generation AI cloud infrastructure environment, focusing on large-scale high-performance computing systems. They foster a highly technical engineering culture with experts across systems, networking, and virtualization, offering career development and continuous learning opportunities.
Build and maintain infrastructure platforms for over 200 backend services running on Kubernetes clusters with 40,000+ cores.
Lead and mentor other engineers, own complex infrastructure failures, and participate in a shared on-call rotation.
Drive cloud cost efficiency, estimate schedules, and use AI tools as a first-class collaborator in daily workflows.
Life360's mission is to keep people close to the ones they love through location sharing, safe driver reports, and crash detection. The company serves approximately 97.8 million monthly active users across more than 180 countries and has more than 500 remote-first employees.
Operate and maintain large-scale Linux environments (bare metal, clusters, cloud) and monitor system health to ensure high availability.
Help scale clusters toward hundreds to thousands of nodes, improving performance, reliability, and resource utilization.
Automate operational tasks using Python, Bash, Ansible, or Terraform and contribute to system design and architecture decisions.
Mistral AI builds high-performance, open, and efficient AI systems to power next-generation applications. We are a collaborative, low-ego, and highly technical team operating across Europe, the US, and beyond, scaling rapidly to support thousands of nodes.
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.
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 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.
Own and scale AI compute and deployment platforms including Kubernetes and GitOps pipelines.
Build inference infrastructure and observability stacks for LLM-powered workflows.
Drive security, compliance, and governance at the systems level in a regulated healthcare environment.
Hims & Hers is a leading health and wellness platform focused on making healthcare accessible and personal. As a publicly traded company on the NYSE (HIMS), it offers flexible/remote work and a culture centered on innovation and employee well-being.
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.
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, deploy, and maintain HPC clusters and cloud-based compute environments.
Support scientific workflows and compute-intensive applications in life sciences.
Administer HPC schedulers like SLURM and implement Infrastructure-as-Code with tools such as Terraform.
Jobgether is an AI-powered job matching platform that connects candidates with hiring companies. The company operates as a remote team focused on streamlining recruitment through technology.
Own and evolve the cloud platform including compute layer, EKS fleet, serverless infrastructure, networking, and cloud operations across AWS and GCP.
Design and maintain infrastructure-as-code foundation and networking layer for reliability, security, and scalability.
Build AI-powered automation for cloud infrastructure management, including policy-as-code, drift detection, and LLM-assisted runbook generation.
Webflow builds the world's leading AI-native Digital Experience Platform, empowering teams to design, launch, and optimize for the web without barriers. As a remote-first company with over 2 million users across 190 countries, it fosters a culture of trust, transparency, and creativity.
Lead a high-leverage remote team of four infrastructure engineers, driving the evolution toward a scalable zero-toil platform.
Guide the team through an AI-driven engineering approach to reduce manual work and achieve zero-touch, scalable infrastructure.
Prepare and execute the strategy for CI/CD and artifact distribution systems to scale during a quality surge without increasing engineering toil.
Camunda is the enterprise platform for agentic orchestration, enabling organizations to coordinate AI agents, people, and systems across complex business processes. Trusted by over 700 organizations worldwide, including 9 of top 10 US banks, Camunda is a fully remote and global company with 150+ engineers across 20+ teams, and is transforming into an AI-first organization.
Collaborate with data scientists and engineers to build scalable ML pipelines, troubleshoot infrastructure issues from Linux to Kubernetes, and optimize model performance.
Drive high engineering standards, design on-premises MLOps solutions, and maintain tools for deployment and monitoring.
Refine CI/CD workflows, incorporate ML model training and evaluation into testing, and ensure seamless handover between research and production.
Learneo is a platform of builder-driven businesses, including Course Hero, CliffsNotes, LitCharts, Quillbot, Symbolab, and Scribbr, focused on supercharging productivity and learning. The company supports high-growth businesses with centralized corporate operations and has a virtual-first culture with employees across multiple countries.
Lead the direction for detecting and responding to AI threats using creative solutions.
Collaborate cross-functionally with engineering, IT, legal, and product teams.
Manage globally distributed security teams with a focus on data and execution.
Gainsight is the AI-powered retention engine behind the world's most customer-centric companies. With over 2,000 customers and a culture focused on collaboration and human-first values, we offer stability and support for our team.
Deploy new servers and implement infrastructure changes.
Plan and execute infrastructure maintenance, diagnose and resolve issues.
Enhance infrastructure lifecycle pipelines.
Gcore is a global provider of infrastructure and software solutions for AI, cloud, network, and security, powering digital experiences worldwide. With a team of over 550 professionals, they collaborate with leading partners like Intel, NVIDIA, Dell, and Equinix to build the foundation for an AI-driven world.