Senior Platform Engineer
Liatrio· Remote · United States·
$120k–$170k
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