Senior Infrastructure Platform Engineer; Remote

Senior Infrastructure Platform Engineer (Remote)

Department: Tech Dev

Employment Type: Full Time

Location: Denton, Texas

Be a part of our team! Join a working team that is dedicated to the mission of the work we do! Teaching Strategies is an innovative edtech organization focused on connecting teachers, children, and families. As front runners in the early childhood education market, we build dynamic, top-quality digital products that integrate all of the essential elements of a high-quality solution: curriculum, assessment, professional development, and family engagement.

We are building a team of results‑oriented individuals who will thrive in a collaborative, work‑hard/play‑hard culture. We pride ourselves on the impact we have on the early childhood field through supporting teachers who are doing the most important work there is, teaching children to become creative, confident thinkers.

Position Overview:

We’re seeking a senior Infrastructure Platform Engineer to help evolve our internal developer platform into an AI‑first, intelligent system that makes infrastructure self‑service, adaptive, and increasingly autonomous. In this role, you will work closely with platform leadership to implement and extend a vision for abstracting cloud infrastructure (AWS, Kubernetes, and Infrastructure as Code), while introducing AI‑driven workflows, natural language interfaces, and intelligent automation into the developer experience.

You’ll be a hands‑on technical expert in AWS EKS and platform engineering, building extensible tooling and systems that enable developers to provision, operate, and troubleshoot infrastructure through intuitive, context‑aware workflows. This is a high‑impact role for a senior engineer who operates with autonomy, contributes to platform direction, and executes at a high level across teams.

• Partner with platform leadership to evolve the internal developer platform toward an AI‑first model
• Translate strategic direction into practical, scalable implementations
• Help shape platform capabilities through hands‑on engineering and technical input

• Design and implement self‑service infrastructure systems that abstract away cloud complexity
• Build APIs, CLIs, and developer‑facing tools that enable infrastructure provisioning without requiring deep cloud expertise
• Introduce AI‑assisted interfaces (CLI, chat, UI) for provisioning, debugging, and operations

• Design, build, and operate secure, multi‑tenant Amazon EKS clusters
• Contribute to platform architecture, scalability, cost optimization, and reliability
• Implement policy, networking, and workload isolation best practices

• Build systems that interpret infrastructure signals (logs, metrics, events) and provide actionable insights
• Develop AI‑assisted workflows for incident triage, root cause analysis, and runbook generation/execution
• Enable human‑in‑the‑loop automation for safe and controlled remediation

• Build platform SDKs, CLIs, and service templates that standardize infrastructure consumption
• Contribute to AI‑powered copilots and assistants that improve developer productivity
• Enable natural language interaction with platform services where appropriate

• Implement reusable infrastructure patterns and opinionated defaults
• Encode security, scalability, and compliance into platform tooling
• Extend Infrastructure as Code practices (e.g., Open Tofu) with abstraction and validation layers

• Implement logging, metrics, and tracing across platform systems
• Leverage AI to detect…