The Aspen Group

Healthcare

SeniorPlatformEngineer

$150–180k Chicago, Illinois, United States FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Senior Platform Engineer at The Aspen Group. Skills: Platform Engineering, GCP, Kubernetes, Terraform, AI Operationalization. Set technical direction for platform. Drive architecture decisions”

What You'll Achieve.

Ship safely and quickly; Make AI workloads production-grade

Industry & Context.

Healthcare
Problems you'll solve

Evaluate trade-offs; Root cause analysis

Eligibility Requirements

On call

What They're Looking For.

Must Have

7+ years cloud engineering, 3+ years GCP, Expert-level Terraform skills, Deep production Kubernetes experience, Solid grasp of serverless patterns, Working knowledge of IAM, CI/CD experience, Proficient in Python, Proficient in Go, Proficient in shell, Understanding of AI operationalization

Nice to Have

Hands-on Vertex AI experience, Hands-on Agent Engine experience, Experience operating multi-cloud, Experience with FinOps, Experience building internal developer platforms, Google Cloud Professional Cloud Architect, Google Cloud Professional DevOps Engineer, AWS Certified Solutions Architect, AWS Certified DevOps Engineer, Microsoft Certified: Azure Solutions Architect Expert, Microsoft Certified: DevOps Engineer Expert, CKA / CKAD / CKS, HashiCorp Certified: Terraform Associate

What You'll Do.

Set technical direction for platform

Drive architecture decisions

Design platform services on GCP

Build platform services on GCP

Operate platform services on GCP

Cover networking on GCP

Cover observability on GCP

Cover CI/CD integrations on GCP

Author Terraform modules

Maintain Terraform modules

Manage state strategy

Import legacy infrastructure

Refactor legacy infrastructure

Clean up legacy infrastructure

Manage workload identity

Manage GKE networking

Manage GKE autoscaling

Manage GKE cost controls

Stand up serverless patterns

Stand up PaaS patterns

Operationalize agents

Operationalize models

Deploy Vertex AI Agent Engine

Deploy model endpoints

Implement eval pipelines

Implement observability pipelines

Manage prompt secrets

Implement secure-by-default CI/CD

Use Workload Identity Federation

Contribute to Azure work

Contribute to AWS work

Improve developer experience

Mentor other engineers

Provide design feedback

Lead incident response

Lead post-incident reviews

Mature on-call operations

How You'll Work.

Team & Collaboration

Application teams; AI / Software Engineers; Internal developers; Cross-team decisions

Communication Scope

Written communication; Verbal communication; Design docs; Leading reviews; Influencing engineers

Process & Methodology

Roadmap planning

Full Job Description

The Aspen Group (TAG) is one of the largest and most trusted retail healthcare business support organizations in the U.S. and has supported over 20,000 healthcare professionals and team members with close to 1,500 health and wellness offices across 48 states in four distinct categories: dental care, urgent care, medical aesthetics, and animal health. Working in partnership with independent practice owners and clinicians, the team is united by a single purpose: to prove that healthcare can be better and smarter for everyone. TAG provides a comprehensive suite of centralized business support services power the impact of five consumer-facing businesses: Aspen Dental, ClearChoice Dental Implant Centers, WellNow Urgent Care, Chapter Aesthetic Studio, and Lovet Pet Health Care. Each brand has access to a deep community of experts, tools and resources to grow their practices, and an unwavering commitment to delivering high-quality consumer healthcare experiences at scale.​ We're hiring a Sr. Platform Engineer to help lead the design, build, and operation of the cloud foundation that the rest of our engineering organization builds on. You'll work primarily in GCP, setting direction on landing zones, hardening IAM, automating infrastructure with Terraform, running workloads on GKE and Cloud Run, and standing up the platform capabilities our application teams need to ship safely and quickly. You'll also be a key technical leader for operationalizing AI workloads (Vertex AI Agent Engine, model endpoints, agentic services) and making them production-grade. This is a senior, hands-on engineering role on a small, high-trust team. You'll write code, own systems end-to-end, set technical direction for the platform, mentor other engineers, and help shape how internal developers experience the cloud.​ **Responsibilities:** * Set technical direction for the platform: drive architecture decisions, write ADRs, evaluate trade-offs, and bring the team along. * Design, build, and operate p

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