At Liatrio, we enable real transformation. We help industry-leading enterprises break free from legacy systems and adopt AI that reshapes how teams build, deliver, and thrive at scale.

We partner directly with enterprise teams to embed AI-native practices into delivery by accelerating modernization, reducing risk, and shipping production-grade AI systems that set the standard for the industry.

Our people embed directly inside client organizations, leading hands-on AI enablement and transformations that reshape how entire enterprises build and operate at scale.
 

If you’re ready to lead real AI transformation, this is where you belong.

About the Role:

We're looking for Senior Platform engineers passionate about best practices in modern engineering and enabling clients by transferring knowledge, coaching, training, and upskilling. 

You'll be embedded with clients doing hands-on technical work while coaching teams and helping organizations transform how they deliver software.

What You'll Do:

Delivery and Technical Work:

• • Build, configure, and maintain CI/CD pipelines using tools like GitHub Actions andGitLab

  • Design, implement, and manage infrastructure as code using Terraform or CloudFormation

  • Build and deploy 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

  • Implement and improve observability across client environments — metrics, logging, tracing, and alerting through tools like Prometheus, Grafana, DataDog and open standards like OTEL

  • Build developer platform tooling, automation, and internal delivery infrastructure that makes engineering teams faster and less dependent on manual work

  • Integrate AI tooling into Platform workflows and delivery pipelines where it makes the most impact

  • Push patterns and practices to minimize future technical debt

Coaching and Enablement:

• • Guide clients on Platform best practices — and roll up your sleeves and do the work alongside them

  • Train and mentor client and colleague engineers on CI/CD, IaC, containerization, and smart developer behaviors

  • Help teams implement end-to-end automation of software delivery

  • Lead change to remove impediments — political, financial, mental, social — for the adoption of Platform at all levels

  • Build and enable colleagues and client engineers on new ways of working, tools, and practices.

Experience and Skills:

Engineering and Infrastructure:

• • You've built and maintained real CI/CD pipelines in production — designed the branching strategy, managed the toolchain, and debugged it when it breaks

  • You can write and manage infrastructure as code using Terraform or — you understand state management, module design, and what happens when things drift

  • You've built and deployed cloud-native platform environments in a real production setting — 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

  • You've implemented observability from scratch — metrics, logs, traces, and alerts using tools like Open Telemetry — and you understand what good looks like vs. what just produces noise

  • You've worked across at least one major cloud provider — Azure, AWS, or GCP — and you know the core services, the gotchas, and how to build reliably on top of them

  • You understand source control management deeply — branching strategies, merge policies, and how those decisions affect delivery speed and team collaboration

  • You can review application code and empathize with the developers writing it — you can engage meaningfully in code reviews and help teams write more operable software

AI and Intelligent Systems:

• • You've started working AI tooling into your delivery workflows — using it to write scripts faster, debug infrastructure issues, or generate IaC — and you can speak to where it's actually helping

  • You use AI coding tools like Claude, Cursor, or Codex as a regular part of how you work, and you're actively exploring how to apply them to platform problems

  • You have some familiarity with integrating AI capabilities into pipelines or automation

Requirements:

• • 5+ years of hands-on Platform engineering experience
  • Must be authorized to work in the United States or Canada without sponsorship
  • Travel availability: 25-50% depending on client needs