Senior Platform Engineer

At Liatrio, we don't just ship software — we enable real transformation.

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 and GitLab

Design, implement, and manage infrastructure as code using Terraform

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 DevOps workflows and delivery pipelines where it makes the most impact

Push patterns and practices to minimize future technical debt

Guide clients on DevOps 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 DevOps at all levels

Seek and provide fast feedback — personally and for others

Generate ideas and be willing to fail fast and demonstrate with POCs

Drive knowledge sharing in and out of client engagements

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 — 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 as a regular part of how you work, and you're actively exploring how to apply them to DevOps and platform problems

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

---

5+ years of hands-on DevOps engineering experience

Must be authorized to work in the United States or Canada without sponsorship

Travel availability: 25-50% depending on client needs