{"id":121040,"url":"https://alion.io/job/stacklok-staff-forward-deployed-engineer-kubernetes-2","title":"Staff Forward Deployed Engineer - Kubernetes","company":{"id":7133,"name":"Stacklok","domain":"stacklok.com","url":"https://alion.io/company/stacklok","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":null},"role":"Solutions","role_family":"Solutions","seniority":"staff","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Singapore"],"countries":["SG"],"hiring_countries":["SG"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":68000,"max_usd":137000,"period":"year","method":"role_seniority_country_cell","sample_n":31},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"ArgoCD","optional":false},{"name":"Datadog","optional":false},{"name":"GitOps","optional":false},{"name":"Go","optional":false},{"name":"Grafana","optional":false},{"name":"Helm","optional":false},{"name":"Kubernetes","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"OpenTelemetry","optional":false},{"name":"Prometheus","optional":false}],"status":"closed","first_seen_at":"2026-06-22T23:47:40Z","employer_posted_date":"2026-07-07","last_verified_at":"2026-10-26T16:03:54Z","board_verified":false,"closed_at":"2026-10-26T16:03:54Z","days_open":125,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":125},"description":"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.\nWe'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.\nThe 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.\nLocation\nThis is a remote role based in Singapore. Candidates must live and work in Singapore and be legally authorized to work in Singapore.\nThe Opportunity\nAs a Staff Forward Deployed Engineer for Stacklok, you will serve as the technical lead for APAC and help build the region. This is hands-on work in the field: embedding with enterprise customers, taking them from first evaluation to production deployment, and answering the toughest technical questions that emerge along the way. As demand across APAC accelerates, you will own how Stacklok lands with every customer in the region.\nBeyond customer engagements, the role helps shape technical direction across APAC, establish deployment patterns the broader organization builds on, and mentor engineers across the team. Field experience feeds directly into design reviews and roadmap discussions, ensuring customer realities help drive product and engineering decisions.\nThe technical depth is substantial. The work spans complex Kubernetes deployments and the operational constraints of large enterprise environments, solving the problems that determine whether AI initiatives successfully reach production. It is an opportunity to shape how AI reaches production across some of the most demanding organizations in the region.\nWhat Success Looks Like: First 6-12 Months\nOnboarded quickly and led live APAC engagements within the first 90 days, becoming the senior technical leader that customers and the field team rely on across the region.\nTook a Design Partner or enterprise customer from first evaluation to a working production deployment, clearing the hardest Kubernetes and platform blockers along the way.\nStood up the in-region engagement model from scratch: the runbooks, escalation paths, and deployment standards that every APAC engagement now follows.\nRaised the technical bar across the region, lifting the engineers around them and turning field learnings into a reusable, AI-assisted playbook the whole team adopted.\nSurfaced APAC field insight, from region-specific regulatory needs to recurring customer requirements, that shaped a product or roadmap decision.\nIn This Role, You Will\nLead forward deployed engagements across APAC end to end, from scoping each customer's technical goals and deployment approach through to a working production deployment.\nOwn the region's technical calls as the in-region anchor and escalation point for the hardest platform and Kubernetes problems customers raise.\nDesign and deliver changes to how the platform deploys to Kubernetes, unblocking enterprise adoption and contributing those changes back upstream.\nDefine the reusable reference architectures and deployment patterns that engagements across the region and the wider team build on.\nSet the technical bar for APAC, mentoring engineers through design reviews and pairing and serving as the technical gate for what good looks like in hiring.\nOwn how forward deployed work runs in the region, adapting it to how local customers operate and shaping where it hands off to applied AI engineering.\nEstablish the AI-assisted practices and tooling the team adopts, and channel APAC field insight into the product roadmap.\nDesired Skill & Experience\nWe 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.\nStrong software engineering fundamentals: writes well-structured production code with sound design and testing judgment.\nExtensive experience serving as the senior or lead engineer in enterprise customer engagements, with a proven ability to lead hands-on customer delivery in the field.\nProven technical leadership through technical direction, mentorship, and stewardship of high-quality engineering practices.\nDeep Kubernetes expertise across cluster architecture, networking, storage, RBAC, and permission models, with operator and CRD literacy, Go controllers, Helm authoring, and GitOps via Flux or ArgoCD.\nStrong observability expertise across metrics, logs, and traces, with the ability to instrument, troubleshoot, and debug production systems using Prometheus, OpenTelemetry, Datadog, or Grafana.\nHands-on experience building or running MCP servers or AI agent tooling, ideally in production environments.\nAI-first mindset: an active user of AI coding assistants who brings agentic workflows into daily work and experiments with AI to automate and accelerate delivery.\nCommunication: excellent written and verbal communication, able to explain complex technical ideas clearly to both technical and non-technical audiences.\nStartup mentality and strong ownership: self-directed and hands-on, comfortable building where no playbook exists yet, and driving clarity through action rather than waiting for it.\nWhy Join Us?\nAt 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.\nYou 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.\nWe 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.\nIf 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.\nStacklok 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.","description_format":"text","description_chars":7318,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Equity","Parental leave"],"hiring_locations":[{"name":"Singapore","iso":"SG","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["DevSecOps","AI Agents","Developer Tools"],"lifecycle":[{"event":"open","at":"2026-06-22T23:47:40Z"},{"event":"close","at":"2026-10-26T16:03:54Z"}],"visa":[],"liveness":null,"pay":null,"html_url":"https://alion.io/job/stacklok-staff-forward-deployed-engineer-kubernetes-2","json_url":"https://alion.io/job/stacklok-staff-forward-deployed-engineer-kubernetes-2.json","meta":{"generated_at":"2026-10-27T06:42:21Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":6992,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-28T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":7133},"rest":"https://alion.io/mcp/rest/get_company?id=7133"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fstacklok-staff-forward-deployed-engineer-kubernetes-2"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fstacklok-staff-forward-deployed-engineer-kubernetes-2"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fstacklok-staff-forward-deployed-engineer-kubernetes-2"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/stacklok-staff-forward-deployed-engineer-kubernetes-2\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fstacklok-staff-forward-deployed-engineer-kubernetes-2"}]}