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Singapore
Remote only
Stacklok 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 Stacklok 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 Singapore. Candidates must live and work in Singapore and be legally authorized to work in Singapore.
As a Senior Forward Deployed Engineer at Stacklok, you sit where platform engineering meets AI, bringing deep Kubernetes expertise to help enterprises adopt Stacklok Enterprise and run AI agents securely on the infrastructure they already trust. Every environment is different, so the role builds the custom operators that fit the platform to each customer's stack and reach production fast.
This is hands-on, high-ownership work, and it is not only technical. Forward-deployed engagements run end to end through the role: standing up custom proof-of-concepts for Design Partners and customers, extending the platforn, coordinating the technical work, and keeping customer and team aligned as things move toward production. When unlocking value means changing how the product deploys to Kubernetes, that work comes back to the platform itself.
Kubernetes expertise is what unlocks value fast, and demand for this work is outpacing our capacity. The role offers a front-row seat to how leading enterprises put AI into production, and real influence over what gets built next. For a platform engineer who wants that expertise to land directly with customers, this is the chance to do it at the frontier of enterprise AI.
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.
#LI-Remote
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.
