Senior Platform Engineer

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.

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.

• • 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

• • 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.

• • 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

• • 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

• • 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