Software Engineer II - Platform

1 мес. назад

United StatesCanadaWorldwideMiddleRemote

kubernetesaicloudsecurity

Software Engineer II on 's core platform team helping build and harden enterprise AI infrastructure.

Обязанности

Enterprises are moving AI agents from experimentation into production, and they need infrastructure that is secure, auditable, and runs behind their own firewall. As a Software Engineer II on 's core platform team, you will help build and harden the systems behind Enterprise, the production distribution of ToolHive, the open source platform for running and governing MCP servers.
This is a hands-on role with real independence. You will deliver features and fix issues across the systems that let Fortune 500 and Global 2000 companies run AI agents securely at scale, from the runtime that isolates MCP servers and the Kubernetes operator that manages them to the gateway, registry, and identity layers. You will go deep in one area while building a system-wide understanding of how the whole platform fits together.
The timing is what makes it compelling. Customers are signing on now, the platform is being hardened for their production environments, and you will build alongside engineers, managers, and product partners defining this category as it emerges.
Build and deliver features across the platform services that make up Enterprise, including the runtime, Kubernetes operator, gateway, and registry.
Fix bugs and harden platform systems for enterprise production use, improving stability across customer deployments.
Write testable, readable code that accounts for edge cases and error handling, and produce clear design docs for the work you take on.
Review pull requests and contribute to design discussions, working alongside technical leads, product, and fellow engineers on shared platform efforts.
Plan and sequence your own tasks and small epics independently, knowing when to pull in a teammate or escalate a design question.
Contribute to the open-source ToolHive codebase and collaborate with community contributors on shared work.

Условия

At , we believe great technology is built by teams that support, challenge, and inspire one another. We are AI maximalists, confident in its potential and committed to ensuring it is used in ways that are safe and sustainable.
You will join a highly motivated, collaborative team with deep experience building some of the world's most impactful technologies, with strong roots in open source, cloud-native technologies, security, and developer tools.
We offer competitive compensation and equity, comprehensive medical, dental, and vision coverage, flexible PTO and paid holidays, paid parental leave, and a flexible, hybrid-or-remote work environment, plus team offsites in unique destinations to collaborate and connect in person.
If you're excited about the future of AI and want to build alongside people who care deeply about their craft, their community, and each other, we would love to hear from you.
 
 
Inc, is proud to be an equal opportunity employer. We are committed to providing equal employment opportunities for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law.

Другое

is led by CEO Craig McLuckie and CTO Joe Beda , two of the creators of Kubernetes. As AI reshapes how software is built and used, we're building the foundation enterprises need to adopt it with confidence.
We're building the control plane for enterprise AI agents, enabling organizations to run, govern, and secure them on the infrastructure they already trust. Through Model Context Protocol (MCP) servers running across Kubernetes and private cloud environments, AI agents can securely connect to internal data and systems while meeting the security, compliance, and operational requirements of highly regulated and security-conscious organizations. We've also extended this foundation to the model layer with an enterprise AI gateway.
The Enterprise Platform is built on ToolHive , our open source MCP platform, and is already being adopted by leading technology companies and organizations in regulated industries. We also help maintain the official MCP registry and contribute openly to the community shaping the future of enterprise AI.
This is a remote role based in North America, with a strong preference for candidates located in the U.S. Eastern Time Zone . 
Ramped quickly on the platform codebase and began contributing independently, self-organizing on tasks without needing close guidance.
Shipped your first features and fixes into an enterprise release within the first few months, then delivered core platform work consistently thereafter.
Resolved assigned production issues within SLA, keeping enterprise customers unblocked and their deployments stable.
Supported users in the open-source ToolHive community, helping them resolve issues and get more value from the platform.
Strengthened the team by reviewing pull requests thoughtfully and building strong working relationships across engineering and product.
We do not expect every candidate to meet every point below. If this role excites you and you bring most of it, we encourage you to apply.
Proficiency in Go, writing clean, testable code that accounts for edge cases and error handling.
Working knowledge of Kubernetes and container technologies such as Docker, including isolation and networking, ideally in self-hosted environments.
Demonstrated ability to deliver features independently across a backend or platform codebase, from implementation through testing and into a release.
Experience building or operating platform services such as APIs, gateways, Kubernetes operators, or release and deployment tooling.
Demonstrated ability to write clear design docs and give thoughtful code reviews that raise the quality of shared work.
Comfort collaborating in an open-source environment. Familiarity with MCP or AI-agent infrastructure is a plus.
AI-first mindset: integrates AI tools into their development workflow to accelerate delivery and improve the quality of what they build.
Communication: excellent written and verbal communication, able to explain complex technical ideas clearly to technical and non-technical audiences.
Startup mentality and intrinsic motivation: self-directed and hands-on, thrives in fast-moving, ambiguous environments and drives clarity through action.
 
Compensation: The anticipated base salary range for this position is $157,500 - $192,500 . In addition to base salary, this role offers equity and a comprehensive benefits package.
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