Prepin
Log in
Unify Consulting

engineering opportunity

Senior Cloud Platform Engineer - Onsite/Seattle Area

Build and own a multi-cloud platform from the ground up across Azure, AWS, and GCP. Design landing zones, implement production-ready Infrastructure as Code, and create automation for environment scaling.

Seattle, Washington, United StatesonsiteFULL_TIME

Posted

About the role

What will you do at Unify Consulting?

We’re hiring a Senior Cloud Platform Engineer to build and own our multi-cloud platform from the ground up.

This is a hands-on builder role — not just architecture diagrams.

You’ll design, implement, and scale the platform that powers our internal R&D, AI demos, and consulting delivery.

Why this role

This is a rare chance to build a platform from zero and own it end-to-end — across all three major clouds — with real impact on how our teams deliver and scale.

Location Requirement

Candidates must currently reside in the Greater Seattle, and will be required to go on site 5 days/week in Kirkland, WA

Please note:

We are unable to sponsor or transfer visas for this position. You must be authorized to work in the United States for any employer without requiring sponsorship or visa transfer now or in the future.

Please no resumes from third-party agencies or recruiters

\n

What you'll do

Build and own our multi-cloud platform (Azure, AWS, and GCP)

Design landing zones, identity, networking, and policy at scale

Write production-ready Infrastructure as Code (IaC)

Create automation for environment spin-up / spin-down

Establish reusable platform patterns other engineers and teams rely on

Partner closely with security, infrastructure, and architecture leaders

What we're looking for

Hands-on cloud platform engineering experience

Azure preferred, but AWS or GCP experience counts equally

Clear evidence you built platforms others use

Production Infrastructure as Code (IaC)

Bicep or Terraform

CI/CD pipelines (GitHub Actions or Azure DevOps)

Peer-reviewed, production deployments

Infrastructure provisioning

Strong automation mindset

Scripting with PowerShell and/or Python

Real automation for environments, cost controls, or governance

Multi-cloud trajectory

Deep in one cloud + exposure to another

Clear willingness to learn and own all three over time

Bonus experience

Databricks / Microsoft Fabric

AI/ML platform exposure (Azure OpenAI, model deployment patterns)

Consulting or multi-tenant environments

\n

$150,000 - $175,000 a year

\n

Location Requirement

Candidates must currently reside in the Greater Seattle, and will be required to go on site 5 days/week in Kirkland, WA

Please note:

We are unable to sponsor or transfer visas for this position. You must be authorized to work in the United States for any employer without requiring sponsorship or visa transfer now or in the future.

Please no resumes from third-party agencies or recruiters

Which skills does this role require?

Multi-cloud Platform EngineeringLanding ZonesNetworkingIdentity ManagementCloud Platform EngineeringMachine Learning

Make your next move

Build a shortlist and prepare

Identify the requirements you can demonstrate, then choose examples from your work to discuss with the hiring team.

Review the responsibilities and requirements before adding an opening to your shortlist.

Role information can change. Confirm current details on the original application page.

Product

AI Candidate AgentCompaniesBrowse JobsDeep ProfileSkill AssessmentOpportunity Matching
Prepin.ai

© 2026 Prepin | All rights reserved.