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. Liatrio is an equal opportunity employer. We value diversity at our company and strive to create a culture of inclusion. We do not discriminate, nor do we tolerate harassment, on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status or disability status. We want our process to be accessible for everyone. If you have a disability under the Americans with Disabilities Act or similar law, or you require a religious accommodation, and you wish to discuss potential accommodations related to applying for employment at our company, please contact hello@liatrio.com. country: US all locations: [Remote] commitment: Full-Time department: location: Remote team: Engineering 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:: 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