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.
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.
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.
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.
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.
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.
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.
Design and run Kubernetes environments optimized for AI inference, retrieval, experimentation, and agent execution in secure or isolated settings.
Deploy and operate open-source or open-weight 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 is a subsidiary of Deutsche Telekom Group, providing IT and telecommunications services. It has over 5300 employees and has been recognized as Hungary's most attractive employer and most ethical multinational company.
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.
Design, build, and maintain platform infrastructure using IaC principles with tools like Terraform.
Develop memory services, vector storage patterns, and semantic search capabilities.
Operate a Kubernetes-based platform for the Data & AI department, enabling deployment and scaling via GitOps.
Redcare Pharmacy is Europe's No.1 e-pharmacy, striving to improve global health through innovation and collaboration. The company fosters a healthy, inclusive work environment where employees feel valued and inspired.
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.
Own reliability, latency, and performance for AI platform services and data infrastructure on AWS.
Design and maintain CI/CD pipelines, infrastructure-as-code, and observability frameworks across the stack.
Partner with AI and data engineers to ensure secure, cost-optimized, and scalable deployment of platform components.
HHAeXchange is the leading technology platform for home and community-based care, providing an end-to-end homecare solution for people who are aging or have disabilities. Founded in 2008, the company is passionate about transforming healthcare by connecting patients, providers, managed care organizations, and states.
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.
Define security architecture and build controls for AI platforms, training and inference workflows, and agentic systems.
Design reusable security patterns for identity, authorization, and runtime controls to constrain execution and data exposure.
Lead hands-on security reviews and influence security architecture through practical design changes and reusable controls.
Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs, delivering industry-leading training and inference speeds. With dozens of model releases and rapid growth, they have a non-corporate work culture that respects individual beliefs.
Optimize production LLM serving with vLLM and SGLang to maximize throughput and minimize latency through batching and quantization.
Profile training runs to find bottlenecks and resolve them with attention implementations like FlashAttention on H200 and GB200 hardware.
Deploy and operate multiple models on shared GPU clusters with autoscaling, bin-packing, and efficient handling of mixed workloads.
Egen is a fast-growing technology company with a data-first mindset, partnering with clients on Google Cloud and Salesforce to drive action through data and insights. We are a team of dedicated engineers who thrive on solving tough problems and continually innovate to achieve fast, effective results.
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.
Develop and maintain core messaging, positioning, and value propositions for Mirantis’ AI infrastructure and cloud-native platform portfolio.
Translate technical capabilities like GPU orchestration and MLOps into compelling narratives for practitioners, platform engineers, and executives.
Produce high-quality technical content including solution briefs, white papers, blog posts, and enable sales teams with battlecards and objection-handling guides.
Mirantis is a Kubernetes-native AI infrastructure company that enables organizations to build scalable, secure, and sovereign infrastructure for AI and data-intensive workloads. The company fosters a culture of openness, collaboration, risk-taking, and continuous growth, working with passionate colleagues to help Fortune 500 customers implement next-generation cloud 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.