About Liatrio At Liatrio, we don't just ship software — we enable real transformation.
We 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.
We 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.
If you're a technical leader who leads with AI and drives lasting change, this is where you belong.
About the Role: The Principal Platform Engineer defines the scope of technical work, owns the architectural direction of complex Platform workstreams, and is accountable for the technical outcomes of the engagement. You are responsible for code quality, architecture, and technical direction across your team — and you're the person who makes sure what gets built is the right thing, built the right way. You make the hard architecture calls, document the tradeoffs, and communicate them in a way that builds trust with the engineers executing the work and the technical leaders sponsoring it.
What You'll Do: Technical Ownership and Architecture
Define the scope of technical work related to deliverables and milestones of the engagement
Own the architectural direction of your Platform workstream — CI/CD pipeline design, IaC architecture, platform strategy, observability programs, DevSecOps implementation, AI tooling and implementation, and developer experience
Responsible for code quality, architecture, and technical direction across the team
Build and own complex delivery infrastructure — pipelines teams depend on, IaC systems that don't drift, and cloud-native platform environments that work for teams who aren't infrastructure specialists
Drive observability maturity — implementing metrics, logging, tracing, and alerting strategies that change how teams operate
Build platform engineering initiatives within your workstream — developer platforms, self-service tooling, automated governance, policy as code
Integrate AI and LLM capabilities into client delivery pipelines and developer workflows in ways that are architecturally sound and maintainable
Anticipate technical risk before it becomes delivery risk — surface issues early and communicate proactively
Participate in scoping discussions and SOW architecture for new and existing customers
Lead or participate in Platform Dojo engagements, coaching client teams on modern delivery practices
Generate ideas, be willing to fail fast, and demonstrate with POCs
Client Technical Engagement
Serve as the senior technical point of contact for your workstream — engaging directly with client engineering managers and directors on architecture, delivery strategy, and technical risk
Proactively identify opportunities to improve engineering culture, delivery practices, and technical quality at the client, and drive that change
Participate in business development including client expansion conversations and SOW development
Team Leadership and Development
Responsible and accountable for the technical outcomes of your team
Mentor engineers through real technical challenges — pairing, architecture reviews, feedback that raises their game
Organize and break down complex work so the team can execute with clarity
Liatrio Growth
Identify and surface expansion opportunities to the sales team and validate SOWs
Build accelerators from client engagement insights that benefit future engagements
Experience & Skills: Engineering and Infrastructure
You have a track record of owning the architectural direction of complex, high-stakes Platform workstreams — you've made the hard calls, been accountable for the outcomes, and learned from the experiences that didn't go as planned
You've designed and owned CI/CD systems at enterprise scale — defined the strategy, rationalized toolchains, and built governance models that let large organizations move fast without losing control
You've built and led cloud-native platform adoption in complex production environments — whether that's Kubernetes, managed container services, or other orchestration platforms — and built or overseen the platform engineering layer that makes it operable for teams who aren't infrastructure specialists
You've built and owned IaC systems that organizations genuinely depend on — module design, remote state management, drift detection, and migrating existing infrastructure into code without breaking production systems
You've built platform engineering work that demonstrably changed how engineering teams operate — internal developer platforms, self-service tooling, automated governance — reducing toil and improving delivery quality
You've implemented DevSecOps practices in real enterprise environments — secure pipelines, secrets management, policy as code, automated compliance — making security a first-class engineering concern
You've built observability programs that changed how teams behave — systems and culture that make engineers capable of understanding and operating what they build
AI and Intelligent Systems
You've integrated AI capabilities into real Platform and platform workflows — intelligent pipeline automation, AI-augmented developer tooling, or operational automation — and you can speak to the architecture, the tradeoffs, and what actually worked
You have enough depth in LLM capabilities and agentic patterns to make architectural decisions about where and how to apply them in a Platform context, and guide your team through implementation that holds up in production
You can have a credible conversation with client technical leaders about where AI creates genuine leverage — grounded in what's real
You use AI coding tools like Claude, Cursor, or Windsurf as a daily driver — and you actively champion adoption on your team because you've seen the compounding impact on quality and speed
Requirements: 8+ years of hands-on Platform engineering experience, with demonstrated ownership of complex technical workstreams
Employment eligibility: must be authorized to work in the United States or Canada without the need for sponsorship.
Travel availability: 25-50% depending on client needs
Full benefits including unlimited PTO, funded HSA option, 401k match, monthly LiveWell stipend, and quarterly company bonus
Annual base salary: $170,000- $200,000 , depending on experience