Senior Platform Engineer

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