Senior Platform Engineer

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.

If you're a hands-on engineer who leads with AI and drives lasting change, 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 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

Coaching and Enablement

• 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

Liatrio Internal

• 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

Experience & 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 — 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 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

Requirements: