Cloud Automation Engineer

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

Hands on engineers needed