--- title: 'Software Engineer II - Platform at Stacklok' canonical: 'https://feeny.ai/job/software-engineer-ii-platform-stacklok-north-america-east-f2srkkatych9' type: 'job' last_seen: '2026-09-11' --- # Software Engineer II - Platform at Stacklok - **Company:** Stacklok - **Location:** North America - East - **Work type:** remote - **Posted:** 2026-07-22 - **Last confirmed live:** 2026-09-11 - **Apply:** https://job-boards.greenhouse.io/stacklok/jobs/5193327007 ## Job description Stacklok is led by CEO [Craig McLuckie](https://www.linkedin.com/in/craigmcluckie/) and CTO [Joe Beda](https://www.linkedin.com/in/jbeda/), 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 [Stacklok Enterprise Platform](https://stacklok.com/platform/) is built on [ToolHive](https://github.com/stacklok/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. Location This is a remote role based in North America, with a strong preference for candidates located in the U.S. Eastern Time Zone. The Opportunity 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 Stacklok's core platform team, you will help build and harden the systems behind Stacklok 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. What Success Looks Like: First 6-12 Months - 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. In This Role, You Will - Build and deliver features across the platform services that make up Stacklok 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. Desired Skill & Experience 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. #LI-Remote Why Join Us? At Stacklok, 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. Stacklok 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. ## About Stacklok ## Company Overview - **One-liner**: Stacklok provides an enterprise‑grade Model Context Protocol (MCP) platform that enables secure, governed connections between AI agents and enterprise systems, built on Kubernetes. - **Entity Type**: Private (Series A $17.5M in 2023; Series B led by Bain Capital Ventures, amount undisclosed) - **Headquarters**: Seattle, Washington, United States - **Founded**: 2023 - **Founders**: Craig McLuckie (CEO) and Joe Beda (CTO) – co‑creators of Kubernetes ## Core Business - **Primary industry**: AI infrastructure / Cloud‑native software - **Target customers**: Platform engineering teams, AI infrastructure teams, security teams, and enterprises deploying AI agents in production (B2B, Enterprise) - **Mission**: “Pave the path to an agentic future” by grounding AI in real‑world systems, ensuring knowledge workers can safely and simply lean into AI agents. ## Products & Services - **Stacklok MCP Platform**: A self‑hosted, Kubernetes‑native platform for AI agent governance. Includes: - **Runtime** – Deploy, run, and manage MCP servers in a Kubernetes cluster with security guardrails. - **Gateway** – Single endpoint to safely and efficiently access all tools; curate a catalog of trusted MCP servers. - **Portal** – Admin controls and frictionless access for knowledge workers; enforces policy‑as‑code, IdP integration, and OTel instrumentation. - **ToolHive** (Open Source): Apache 2.0‑licensed MCP server platform, maintained by Stacklok, Red Hat, and a growing community. Used as the foundation for the enterprise platform. ## Market Standing - **Valuation / Market Cap**: Not disclosed (private company) - **Key Metric**: Total Funding – $17.5M (Series A, 2023); Series B led by Bain Capital Ventures (amount undisclosed) - **Notable Investors/Partners**: Accel, Bain Capital Ventures, Madrona - **Growth Signals**: Headcount grew +7.7% YoY to ~34 employees (LinkedIn); operates in 8 countries; gained traction as an early player in the MCP ecosystem; included maintainers of the official MCP registry. ## Competitive Advantages - **Founding pedigree**: CEO Craig McLuckie and CTO Joe Beda co‑created Kubernetes – unmatched Kubernetes and cloud‑native expertise. - **Zero lock‑in**: ToolHive is Apache 2.0 licensed and interoperable with any model provider stack. - **Kubernetes‑native**: MCP servers run as pods; existing ingress, network policies, and service mesh rules apply out of the box. - **Enterprise governance**: Policy‑as‑code, OIDC/IAM integration, and full observability into every tool call. ## Strategic Focus - **Current priorities**: Accelerate enterprise adoption of AI agents by bridging cloud‑native infrastructure (K8s) with agentic workflows, standardizing MCP governance, and expanding the ToolHive open‑source community. - **Direction**: Help organizations move from AI experimentation to production using familiar Kubernetes patterns; extend Stacklok as the runtime for “AI‑native transformation.” ## Why Work Here - **Culture**: “AI‑first company” with deep open‑source roots; collaborative team that built Kubernetes, Heptio, and CNCF; work in the open alongside the community. - **Work model**: Flexible hybrid or fully remote depending on team and location (global team across 8 countries). - **Benefits**: Competitive compensation and equity; comprehensive medical/dental/vision; flexible PTO and paid holidays; paid parental leave; team offsites in unique destinations. - **Engineering culture**: Small, high‑impact team (34 people); strong seniority (31% senior); opportunities to shape the MCP standard and enterprise AI infrastructure. - **Note**: As of the search date, no current open positions were listed on the careers page – job alerts available. ## Sources 1. [stacklok.com](https://stacklok.com/) 2. [greenhouse.io](https://job-boards.greenhouse.io/stacklok) 3. [stacklok.com/company](https://stacklok.com/company/) 4. [linkedin.com/company/stacklok](https://www.linkedin.com/company/stacklok) 5. [github.com/stacklok](https://github.com/stacklok/) ## Other roles at Stacklok - [Sr. Software Engineer - Platform](https://feeny.ai/job/sr-software-engineer-platform-stacklok-north-america-east-whkpskae4rc6) — North America - East - [Staff Forward Deployed Engineer - Kubernetes](https://feeny.ai/job/staff-forward-deployed-engineer-kubernetes-stacklok-nfv5w5ktt1rg) — :, Singapore - [Senior Forward Deployed Engineer - Kubernetes](https://feeny.ai/job/senior-forward-deployed-engineer-kubernetes-stacklok-5a2q7ga98zep) — :, Singapore