Infrastructure Automation Engineer (Terraform)- Remote

Role Overview
The Infrastructure Automation Engineer will support the Cloud Automation Engineering team by designing, building, and evolving automation platforms and shared services that reduce manual operational effort across the organization. This role is intended to add resiliency and capacity to a small, highly specialized team and enable consistent progress despite shifting priorities or resource constraints.

This position requires a highly autonomous engineer who can take broad direction, leverage existing documentation, and independently move projects forward while collaborating appropriately with the team.

Team & Reporting Structure
Reports directly to Manager, Cloud Automation Engineering
The team operates fully remote and across time zones

Core Responsibilities
Design, implement, and maintain automation-first solutions that:
Reduce manual toil for engineering teams
Are simple and intuitive for downstream teams to consume
Build and maintain Infrastructure as Code for shared services and platforms
Develop reusable automation components intended for long-term reuse, not one-off solutions
Contribute to and extend automation pipelines and frameworks
Support and enhance internally provided automation services, then hand off day-to-day operation to consuming teams
Work independently from high-level project definitions and documented frameworks
Review and leverage extensive documentation (Confluence) to self-onboard and execute effectively Current & Representative Projects
Heavy use of Terraform to define and manage infrastructure and platform integrations

Migration initiatives, including:
Moving away from PagerDuty to Datadog Incident Management and On?Call, with Terraform-driven parity between platforms
Evaluation and potential transition from Chef to Ansible for configuration management
Chef experience is not required
Ansible experience is needed
Supporting shared tooling and platforms that span multiple business units Cloud & Platform Environment

Multi-cloud environment:
AWS is the primary cloud across the organization
Significant tooling and automation platforms currently reside in Azure

Engineers are expected to:
Be strong in at least one major cloud platform
Adapt easily between AWS and Azure as needed

Observability & incident tooling:
Datadog is a core platform for monitoring, observability, and incident management
The team manages vendor relationships, contracts, and onboarding of new business units
Ability to understand Datadog capabilities and explain them to internal teams is important

Required Skills & Experience
Strong background in infrastructure automation
Deep experience with Terraform
Proven ability to design and build Infrastructure as Code
Experience working in environments where automation is delivered as a shared service
Ability to work independently with minimal supervision
Comfortable navigating and learning from existing documentation
Strong problem-solving and analytical skills
Should be comfortable using AI (Cloud desktop, copilot,

Desired Skills & Experience
Experience with:
Ansible (or strong willingness to learn)
Datadog (monitoring, observability, or incident management)
Configuration management tools (Chef experience is optional)
Exposure to both AWS and Azure environments
Experience migrating or modernizing tooling platforms Working Style & Expectations
Self-directed and comfortable operating without micromanagement
Able to accept broad project parameters and determine implementation details independently
Willing to ask questions when blocked, without requiring constant direction
Focused on maintainability, scalability, and ease of consumption for end users
Adaptable to changing organizational priorities and tooling decisions
NO MANAGERS, true hands on engineers needed