Full-Time
Kubernetes management platform with services
$200k - $220k/yr
Austin, TX, USA
Remote
Remote within the United States; US-based applicants preferred.
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Mirantis provides a Kubernetes management platform and related cloud services. It helps businesses run and scale containerized applications in the cloud by automating deployment, management, and scaling of Kubernetes clusters. The product is available as a free download, while the company earns revenue from professional services such as consulting, training, and support. This mix of software and services sets it apart from competitors that rely solely on software sales. Mirantis works with many clients across industries, focusing on helping organizations migrate to modern, scalable cloud solutions. The overall goal is to enable customers to operate their software more efficiently at large scale in the cloud.
Company Size
501-1,000
Company Stage
Acquired
Total Funding
$255M
Headquarters
Mountain View, California
Founded
1999
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Remote Work Options
Flexible Work Hours
Unlimited Paid Time Off
Paid Vacation
Health Insurance
Dental Insurance
Vision Insurance
Wellness Program
Mental Health Support
Conference Attendance Budget
Professional Development Budget
Stock Options
Company Equity
401(k) Retirement Plan
401(k) Company Match
Phone/Internet Stipend
Home Office Stipend
Azul announces monthly Critical Security Patch Updates for Java across all supported LTS versions. July 23, 2026 Azul announced that it will deliver monthly Critical Security Patch Updates (CSPUs) for Java Long-Term Support (LTS) versions for both Azul Core and Azul Prime, starting in August 2026. The traditional quarterly update cadence can no longer keep pace, as a serious vulnerability surfacing just after a scheduled update can sit unpatched for weeks before the next fix ships. Azul is moving to a monthly rhythm to close that exposure window, delivered with the production-grade stability enterprises depend on. Azul's CSPUs will be released monthly, on the third Tuesday of each month, when a high-priority fix is warranted, giving organizations a predictable, plannable security cadence rather than waiting for the next quarterly update. Azul will provide CSPUs across all the LTS versions it supports - Java 8, 11, 17, 21 and 25 - as well as the current release (Java 26). Azul will also deliver CSPUs for the Java 6 and 7 versions it supports, extending the same monthly security cadence to organizations still running older Java versions in production. Azul brings a proven model to this faster cadence. For years, it has delivered Java updates in two forms each quarter: Patch Set Updates (PSUs), which carry the full set of quarterly changes (typically measured in the hundreds), and Critical Patch Updates (CPUs), which deliver security fixes only, built on a stabilized, production-proven code base. Azul's CSPUs extend that same security-only, stability-first CPU model to a monthly rhythm - targeted fixes for identified vulnerabilities tracked as Common Vulnerabilities and Exposures (CVEs), without the unrelated changes that raise regression risk. Azul will continue to work within the OpenJDK community and the OpenJDK Vulnerability Group to advance Java security. "For years, the world's most demanding enterprises have trusted Azul to deliver security and stability together, and on time," said Scott Sellers, co-founder and CEO of Azul. "As AI sharply increases the volume of threats enterprises face, enterprises shouldn't have to choose between the two. Monthly security-only updates are the new standard Azul is setting for how enterprises protect their Java estates." Industry news. July 23, 2026 Azul announced that it will deliver monthly Critical Security Patch Updates (CSPUs) for Java Long-Term Support (LTS) versions for both Azul Core and Azul Prime, starting in August 2026. July 23, 2026 Prismatic announced native large data sync, a set of new capabilities that enables teams to move high volumes of customer data through the same integration platform they already use to build, deploy, monitor, and manage customer-facing integrations. July 23, 2026 Harness and Kong announced an expansion of their strategic partnership to address the growing security challenges posed by AI-driven architectures, autonomous agents, and Model Context Protocol (MCP) deployments. July 22, 2026 Sauce Labs introduced AURA, its AI-Unified Release Assurance platform, to close that gap. July 22, 2026 Harness announced the Harness AppSec Alliance, a strategic partner ecosystem that brings together application security, API and Agent security capabilities on a single platform. July 22, 2026 Mirantis announced that both k0s, its lightweight single-binary Kubernetes distribution, and k0rdent, its open-source distributed container management platform, have achieved CNCF Certified Kubernetes AI Conformance at Kubernetes v1.35. July 21, 2026 Google introduced Gemini 3.6 Flash, Gemini 3.5 Flash-Lite, and Gemini 3.5 Flash Cyber to help developers and customers build AI agents in production with higher token efficiency, lower latency, and reliable performance. July 21, 2026 Harness is extending its platform to cover the full AI Agent Development Lifecycle (DLC), giving enterprises a single set of pipelines and controls to build, test, deploy, and run agents the same way they already ship everything else. July 21, 2026 BellSoft announced the general availability of a new hardened builder image for Paketo Buildpacks(TM). July 20, 2026 Testlio unveiled the next evolution of its AI-driven testing platform, LeoCore(TM). July 20, 2026 Agent Island released v1.7.1. July 17, 2026 GitLab(link is external) released GitLab 19.2. As AI generates more code, dependencies, and change than developers can keep up with, GitLab 19.2 brings agentic automation to clear that load. July 16, 2026 Progress Software(link is external) announced that its Progress Chef(link is external) platform now delivers enterprise lifecycle management and configuration capabilities for NVIDIA DGX Spark, enabling IT teams to securely provision, monitor and manage the desktop AI supercomputer at scale. July 16, 2026 Atlassian Corporation announced new capabilities in Jira to advance AI-native software development for every engineering organization. July 16, 2026 Intruder announced the launch of AI Pentesting for web applications, providing on-demand penetration testing.
Mirantis brings enterprise-grade controls to AI infrastructure. k0rdent adds capabilities enabling enterprises and GPU cloud operators to govern, scale, and monetize sovereign AI services. May 15, 2026 Prev Next 1 of 42,993 Mirantis, delivering Kubernetes-native infrastructure for AI, announced additional capabilities for k0rdent AI, further expanding the platform beyond infrastructure management to help enterprises, neoclouds, and GPU cloud operators monetize AI infrastructure investments. The new k0rdent AI Model Registry and k0rdent AI Inference Mesh enable organizations to securely host, govern, route, and meter AI models and inference services across federated computing resources. Together, the two new products help organizations transform raw GPU infrastructure into governed, revenue-generating AI platforms. Mirantis also introduced k0rdent AI Inference Runtime designed to maximize tokens per GPU-second for improved infrastructure efficiency and utilization. "As organizations move AI projects from experimentation into production, infrastructure teams are increasingly confronting operational and governance challenges around model distribution, inference visibility, compliance enforcement, and GPU economics," said Kevin Kamel, vice president of product development at Mirantis. "Enterprises and GPU operators have largely been forced to stitch together fragile workflows and disconnected tools to operationalize AI. Models cannot be treated the same as containers because they have their own governance, sovereignty, compliance, and lifecycle requirements. The capabilities we're providing today are validated and benchmarked for users." k0rdent AI Model Registry k0rdent AI Model Registry is optimized for AI model storage and distribution workflows. It provides a secure, OCI-native registry for managing large language models (LLMs), fine-tuned variants, quantized builds, and related AI artifacts across distributed infrastructure. The registry reduces the operational complexity often associated with secure AI model distribution. k0rdent AI Inference Mesh k0rdent AI Inference Mesh routes, meters, audits, and enforces policy on every inference request across models, regions, clusters, and providers. It provides a full view of where AI requests are going, what they cost, and any compliance gaps. The new products build on Mirantis' k0rdent AI platform, which focuses on Kubernetes-native AI infrastructure spanning bare metal, virtual machines, managed Kubernetes, and sovereign clouds.
Mirantis has announced new capabilities for its k0rdent AI platform, expanding beyond infrastructure management to help enterprises and GPU cloud operators monetise AI infrastructure investments. The company introduced k0rdent AI Model Registry for secure model storage and distribution, and k0rdent AI Inference Mesh for routing, metering and policy enforcement across inference requests. The platform addresses operational challenges around model distribution, governance and GPU economics as organisations move AI projects into production. Mirantis also launched k0rdent AI Inference Runtime to maximise tokens per GPU-second for improved efficiency. The new products, available in preview, build on Mirantis' Kubernetes-native AI infrastructure platform spanning bare metal, virtual machines and sovereign clouds. The company serves major enterprises including Adobe, Ericsson and PayPal.
Saturn Cloud has partnered with Mirantis to deliver a full-stack AI platform combining infrastructure automation with AI development tools. The partnership integrates Mirantis k0rdent AI with Saturn Cloud's development environment, enabling GPU providers and enterprises to transform bare-metal infrastructure into self-service AI platforms. Mirantis k0rdent AI automates infrastructure provisioning, multi-tenancy, GPU scheduling and lifecycle management across NVIDIA architectures. Saturn Cloud adds the development layer, providing NVIDIA-accelerated environments, distributed training and API endpoints without requiring Kubernetes expertise. The solution targets neoclouds and enterprises seeking production-ready AI platforms whilst maintaining on-premises data security. Saturn Cloud is currently available on Mirantis k0rdent AI infrastructure, with the combined platform supporting over 100,000 developers.
Mirantis launches AI governance and inference tools for GPU clouds. The launch comes shortly after Iren agreed to acquire Mirantis for $625 million May 19, 2026 Mirantis is adding new governance, routing, and metering capabilities to its k0rdent AI platform as enterprises and graphic processing unit (GPU) cloud operators look for more control over AI infrastructure moving from pilots into production. The California-based company is expanding k0rdent AI beyond infrastructure management into the operational layer of AI delivery, where companies must track where models are running, how inference requests are routed, what those requests cost, and whether they comply with internal policies or sovereignty requirements. The k0rdent AI Model Registry is built for storing and distributing large language models (LLMs), fine-tuned models, quantized builds, and other AI artifacts across distributed environments. Mirantis described it as an OCI-native registry designed specifically for AI model workflows, rather than traditional container images. The k0rdent AI Inference Mesh is intended to route, meter, audit, and enforce policy on inference requests across models, regions, clusters, and providers. The goal is to give platform teams a clearer view of where AI traffic is going, how infrastructure is being consumed, and where compliance gaps may exist. Mirantis also introduced k0rdent AI Inference Runtime, which the company said is designed to improve infrastructure efficiency by maximizing tokens per GPU-second. "As organizations move AI projects from experimentation into production, infrastructure teams are increasingly confronting operational and governance challenges around model distribution, inference visibility, compliance enforcement, and GPU economics," Kevin Kamel, VP of product development at Mirantis, noted in a statement. The launch comes shortly after Iren agreed to acquire Mirantis for $625 million, with Mirantis expected to operate as a standalone subsidiary while supporting Iren's AI cloud deployments. That deal positioned Mirantis' bare metal GPU and Kubernetes stack as part of a broader push to bring AI infrastructure online faster. Mirantis' announcement also lands amid a rise of neocloud providers and distributed AI infrastructure. Neoclouds are building out high-performance networks for AI workloads, while companies such as Cast AI are trying to make GPU capacity more flexible across Kubernetes environments.