{"schemaVersion":"jobsearcher.job.v1","id":"ed719dc29c8a34f3a70e0f06","url":"https://jobsearcher.com/jobs/ed719dc29c8a34f3a70e0f06","canonicalUrl":"https://jobsearcher.com/jobs/ed719dc29c8a34f3a70e0f06","title":"Lead Platform Engineer","description":"About Liatrio\nAt Liatrio, we don't just ship software, we enable real transformation.\n\nWe help large enterprises break free from legacy systems and truly enable AI across their organizations. We design and deliver secure, scalable, agentic AI-native platforms that reshape how teams build, deliver, and thrive at scale.\n\nWe live this every day by embedding deeply with clients to drive meaningful AI enablement — accelerating modernization, reducing risk, and creating lasting competitive advantage through production-grade AI systems. We use tools like Claude, Cursor, and Codex daily to move faster and deliver better outcomes.\n\nIf you're a technical leader who leads with AI and drives lasting change, this is where you belong.\n\nAbout the Role\nWe're looking for a Lead Platform Engineer who owns a portion of the technical scope on a workstream, architects the solutions within it, and leads a small team of engineers to deliver against it.\n\nYou work closely under the guidance of an account lead or architect — you're not setting the overall engagement strategy, but you are designing the solutions, making the day-to-day architecture calls, and being accountable for the technical quality of what your team ships.\n\nYou're in the pipelines, writing IaC, building platform environments, and setting the standard through your own work while keeping the team unblocked and the client informed.\n\nWhat You'll Do:\n\nTechnical Delivery and Oversight\nYou'll own a defined portion of the technical scope — designing the architecture, doing the work, and leading your team through it. That looks like:\nArchitecting Platform solutions within your workstream — designing the approach, documenting tradeoffs, articulating it clearly to clients, and leading your team through implementation\nBuilding, configuring, and maintaining CI/CD pipelines end-to-end — designing the strategy, choosing the toolchain, and evolving it as the client's delivery maturity grows\nWriting and managing infrastructure as code — Terraform or CloudFormation — including module design, state management, and drift\nDesigning, writing, and managing AI Agents and AI tooling at scale or an organization as part of expanding platform capabilities\nBuilding and deploying cloud-native platform environments — whether that's Kubernetes, managed container services, or other orchestration platforms depending on client environment — getting teams to a place where they can run and operate workloads in production confidently\nBuilding and implementing observability — metrics, logging, tracing, and alerting that actually tells you something useful when things go wrong\nBuilding developer platform tooling, automation, and self-service infrastructure that makes engineering teams faster and less dependent on manual work\nIntegrating AI tooling into Platform workflows and delivery pipelines where it makes the most impact\nMaking day-to-day architecture decisions within your scope and escalating the right ones to the account lead or architect when they have broader implications\nIdentifying technical risk early and surfacing it clearly before it becomes a delivery problem\nGenerating ideas, failing fast, and demonstrating with POCs\n\nTeam and People\nLead a small team of engineers — organizing work, breaking down tasks, pairing on hard problems, and keeping the team moving\nUplift engineers through code review, pairing, and day-to-day technical mentorship\nMentor junior team members through 1:1s, feedback, and guiding technical growth\n\nStakeholder Communication\nServe as a technical point of contact for your scope — representing the work clearly to client engineers and project stakeholders\nKeep account leaders and architects up to date on concerns, blockers, and changes\nAdapt quickly to change and shift focus as required to meet customer needs\nProvide feedback on team performance and areas for growth\n\nExperience and Skills Engineering and Infrastructure:\n\nYou can own a CI/CD pipeline end-to-end — designing the strategy, building it, and evolving it as the client's delivery maturity grows\nYou've written and managed production IaC at scale — Terraform or CloudFormation — including module design, remote state, and managing infrastructure drift in a live enterprise environment\nYou've built and deployed cloud-native platform environments in real production settings — whether that's Kubernetes, managed container services, or other orchestration platforms — and helped engineering teams get to a place where they can run and operate their workloads confidently\nYou've made real architecture decisions — designed systems under constraints, documented tradeoffs, and been accountable for what happened when those decisions met production\nYou've built meaningful observability for real systems — you know the difference between metrics that tell a story and dashboards nobody looks at, and you can set up alerting that pages on the right things\nYou've built platform tooling and developer infrastructure — self-service tooling, automation, or internal infrastructure that made engineering teams faster and less dependent on manual ops work\nYou've worked deeply across at least one major cloud provider and have enough breadth across others to be productive quickly in a new environment\nYou can hold the technical bar for a small team — reviewing code, catching architecture problems early, and helping engineers grow through the process\n\nAI and Intelligent Systems\nYou've integrated AI capabilities into real delivery workflows — whether that's AI-assisted pipeline troubleshooting, intelligent automation, or tooling that makes your team faster — and you can describe what worked and what didn't\nYou use AI coding tools like Claude, Cursor, or Windsurf as a daily driver and actively help your team get value from them\nYou're familiar enough with LLM capabilities to make smart decisions about where to apply them in a Platform context\n\nRequirements\n7+ years of hands-on Platform engineering experience, with some demonstrated technical leadership\nMust be authorized to work in the United States or Canada without sponsorship\nTravel: 25-50% depending on client needs and remote work otherwise\nBase Salary: 140,000-170,000 plus 10% bonus\nFull benefits including unlimited PTO, funded HSA option, 401k match, monthly LiveWell stipend, and quarterly company bonus (10% Annually)\nWe may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.","company":"Liatrio","rawCompany":"liatrio","city":"Remote","state":"OR","isRemote":false,"isActive":false,"createdAt":"2026-07-19T14:46:32.418Z","occupations":[{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"11-9041.00","title":"Architectural and Engineering Managers","slug":"architectural-and-engineering-managers"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Lead Platform Engineer","description":"About Liatrio\nAt Liatrio, we don't just ship software, we enable real transformation.\n\nWe help large enterprises break free from legacy systems and truly enable AI across their organizations. We design and deliver secure, scalable, agentic AI-native platforms that reshape how teams build, deliver, and thrive at scale.\n\nWe live this every day by embedding deeply with clients to drive meaningful AI enablement — accelerating modernization, reducing risk, and creating lasting competitive advantage through production-grade AI systems. We use tools like Claude, Cursor, and Codex daily to move faster and deliver better outcomes.\n\nIf you're a technical leader who leads with AI and drives lasting change, this is where you belong.\n\nAbout the Role\nWe're looking for a Lead Platform Engineer who owns a portion of the technical scope on a workstream, architects the solutions within it, and leads a small team of engineers to deliver against it.\n\nYou work closely under the guidance of an account lead or architect — you're not setting the overall engagement strategy, but you are designing the solutions, making the day-to-day architecture calls, and being accountable for the technical quality of what your team ships.\n\nYou're in the pipelines, writing IaC, building platform environments, and setting the standard through your own work while keeping the team unblocked and the client informed.\n\nWhat You'll Do:\n\nTechnical Delivery and Oversight\nYou'll own a defined portion of the technical scope — designing the architecture, doing the work, and leading your team through it. That looks like:\nArchitecting Platform solutions within your workstream — designing the approach, documenting tradeoffs, articulating it clearly to clients, and leading your team through implementation\nBuilding, configuring, and maintaining CI/CD pipelines end-to-end — designing the strategy, choosing the toolchain, and evolving it as the client's delivery maturity grows\nWriting and managing infrastructure as code — Terraform or CloudFormation — including module design, state management, and drift\nDesigning, writing, and managing AI Agents and AI tooling at scale or an organization as part of expanding platform capabilities\nBuilding and deploying cloud-native platform environments — whether that's Kubernetes, managed container services, or other orchestration platforms depending on client environment — getting teams to a place where they can run and operate workloads in production confidently\nBuilding and implementing observability — metrics, logging, tracing, and alerting that actually tells you something useful when things go wrong\nBuilding developer platform tooling, automation, and self-service infrastructure that makes engineering teams faster and less dependent on manual work\nIntegrating AI tooling into Platform workflows and delivery pipelines where it makes the most impact\nMaking day-to-day architecture decisions within your scope and escalating the right ones to the account lead or architect when they have broader implications\nIdentifying technical risk early and surfacing it clearly before it becomes a delivery problem\nGenerating ideas, failing fast, and demonstrating with POCs\n\nTeam and People\nLead a small team of engineers — organizing work, breaking down tasks, pairing on hard problems, and keeping the team moving\nUplift engineers through code review, pairing, and day-to-day technical mentorship\nMentor junior team members through 1:1s, feedback, and guiding technical growth\n\nStakeholder Communication\nServe as a technical point of contact for your scope — representing the work clearly to client engineers and project stakeholders\nKeep account leaders and architects up to date on concerns, blockers, and changes\nAdapt quickly to change and shift focus as required to meet customer needs\nProvide feedback on team performance and areas for growth\n\nExperience and Skills Engineering and Infrastructure:\n\nYou can own a CI/CD pipeline end-to-end — designing the strategy, building it, and evolving it as the client's delivery maturity grows\nYou've written and managed production IaC at scale — Terraform or CloudFormation — including module design, remote state, and managing infrastructure drift in a live enterprise environment\nYou've built and deployed cloud-native platform environments in real production settings — whether that's Kubernetes, managed container services, or other orchestration platforms — and helped engineering teams get to a place where they can run and operate their workloads confidently\nYou've made real architecture decisions — designed systems under constraints, documented tradeoffs, and been accountable for what happened when those decisions met production\nYou've built meaningful observability for real systems — you know the difference between metrics that tell a story and dashboards nobody looks at, and you can set up alerting that pages on the right things\nYou've built platform tooling and developer infrastructure — self-service tooling, automation, or internal infrastructure that made engineering teams faster and less dependent on manual ops work\nYou've worked deeply across at least one major cloud provider and have enough breadth across others to be productive quickly in a new environment\nYou can hold the technical bar for a small team — reviewing code, catching architecture problems early, and helping engineers grow through the process\n\nAI and Intelligent Systems\nYou've integrated AI capabilities into real delivery workflows — whether that's AI-assisted pipeline troubleshooting, intelligent automation, or tooling that makes your team faster — and you can describe what worked and what didn't\nYou use AI coding tools like Claude, Cursor, or Windsurf as a daily driver and actively help your team get value from them\nYou're familiar enough with LLM capabilities to make smart decisions about where to apply them in a Platform context\n\nRequirements\n7+ years of hands-on Platform engineering experience, with some demonstrated technical leadership\nMust be authorized to work in the United States or Canada without sponsorship\nTravel: 25-50% depending on client needs and remote work otherwise\nBase Salary: 140,000-170,000 plus 10% bonus\nFull benefits including unlimited PTO, funded HSA option, 401k match, monthly LiveWell stipend, and quarterly company bonus (10% Annually)\nWe may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.","datePosted":"2026-07-19T14:46:32.418Z","dateModified":"2026-07-19T14:46:32.418Z","hiringOrganization":{"@type":"Organization","name":"Liatrio","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote","addressRegion":"OR","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"ed719dc29c8a34f3a70e0f06"},"url":"https://jobsearcher.com/jobs/ed719dc29c8a34f3a70e0f06"}}