Support GCP application platforms and services such as GKE, GKE on-premises or Anthos, Compute Engine, Cloud Run, Cloud SQL, Cloud Storage, and managed data and integration services as needed by application teams.
Manage engineering across RadNet’s GCP and AWS presence, aligning cross-cloud standards for connectivity, monitoring, security, and deployment. Experience with Azure is helpful.
Create reusable infrastructure and environment patterns with Terraform and Terragrunt; use Git workflows, CI/CD pipelines, code review, and policy checks to keep deployments consistent and auditable.
Develop reusable, documented platform services and self-service deployment paths that simplify application onboarding, access, secrets, configuration, telemetry, and repeatable environment creation for engineering teams.
Build quality and safety into infrastructure and application delivery through automated validation of Terraform changes, secrets controls, policy checks, deployment testing, and rollback procedures.
Use cloud asset and infrastructure as code tools such as Firefly to improve inventory, IaC coverage, drift awareness, and conversion of unmanaged resources into governed code.
Evaluate AI coding and engineering assistants such as Cursor, Claude, Gemini Enterprise, and Codex for infrastructure code, reviews, documentation, troubleshooting, and automation; measure useful outcomes and require human review and approved data handling.
Partner with DeepHealth Platform/DevOps, Cloud Operations, and product teams on RadNet-facing environments, container platforms, release dependencies, cloud connectivity, and application scaling.
Work with application owners to establish production readiness through capacity testing, dependency mapping, service monitoring, alerts, runbooks, escalation paths, and clear response plans.
Lead SRE and cloud operations practices for the platforms in scope, including service objectives, capacity and load testing, alert quality, incident triage, root cause analysis, recovery, and reduction of recurring issues and manual work.
Engineer hybrid connectivity between RadNet datacenters and GCP using Dedicated Interconnect, Cloud Router and BGP, HA VPN, Private Service Connect, and related routing and DNS patterns.
Use Google Cloud Operations, Datadog, and AI assisted investigation tools such as NeuBird to correlate telemetry, improve troubleshooting, and turn incident findings into engineering changes.
Coordinate with cybersecurity on least-privilege access, secrets, vulnerability remediation, policy controls, and compliant handling of sensitive healthcare data.
You Are
Genuinely passionate about customer service and exercise sound judgement and an ability to remain professional in all situations
Able to demonstrate high level of attention to detail, excellent organizational skills and have the ability to multitask
Able to thrive in a fast-paced environment, have a knack for prioritizing work with a structured approach, and enjoy providing world class customer service
To Ensure Success In This Role, You Must Have
Comprehensive hands-on experience designing, building, and operating production workloads and shared infrastructure on Google Cloud Platform, with sound architectural judgment across core GCP services.
Experience leading onshore and offshore engineers, mentoring direct employees, managing outsourced resources, and holding delivery partners accountable for results.
Hands-on knowledge of GCP IAM, VPC networking, hybrid connectivity, DNS, GKE or Kubernetes, Compute Engine, Cloud Run, Cloud SQL, Cloud Storage, logging, monitoring, and security controls.
Experience managing multi-cloud engineering in GCP and AWS, with hybrid infrastructure, network routing, private connectivity, and enterprise production support.
Experience with Terraform and Terragrunt, Git workflows, CI/CD, code review, automated testing, and policy controls for multiple environments.
Practical scripting and API integration experience, such as Python or a comparable language, for cloud automation and troubleshooting.
Ability to lead SRE and cloud operations practices, including observability, incident response, root cause analysis, runbooks, and performance improvement.
Familiarity with responsible use of AI assisted engineering tools and the review, security, and data handling practices needed for their use.
Experience using cost and capacity data to improve cloud design and operations.
Bachelor’s degree in a related field or equivalent professional experience.
We Offer
Comprehensive Medical, Dental and Vision coverages.
Health Savings Accounts with employer funding.
Wellness dollars
401(k) Employer Match
Free services at any of our imaging centers for you and your immediate family.
Pay Range: $130,000.00 - $170,000.00 per year
Artificial Intelligence; Advanced Technology; The very best in patient care. With decades of expertise, we are Leading Radiology Forward. With dynamic cross-training and advancement opportunities in a team-focused environment, the core of our success is its people with the commitment to a better healthcare experience. When you join us as a Cloud & Platform Engineering Manager, you will be joining a dedicated team of professionals who deliver quality, value, and access in the 21st century and align all stakeholders- patients, providers, payors, and regulators to achieve the best clinical outcomes.
You Will
Contribute directly to GCP architecture, infrastructure code, technical prototypes, design reviews, and complex production troubleshooting. Build and operate cloud foundations, including organization and project structure, IAM, service accounts, policies, VPCs, networking, DNS, and secure provisioning.
Lead globally distributed onshore and offshore cloud and platform engineers, including direct employees and outsourced resources. Set priorities, coach engineers, review designs and code, and balance project delivery with production operations.
Manage the team’s budget, capacity plans, vendor relationships, and partner deliverables. Apply FinOps practices to tagging, cloud forecasts, anomaly review, resource sizing, and cost-aware architecture with finance and product teams.
Support GCP application platforms and services such as GKE, GKE on-premises or Anthos, Compute Engine, Cloud Run, Cloud SQL, Cloud Storage, and managed data and integration services as needed by application teams.
Manage engineering across RadNet’s GCP and AWS presence, aligning cross-cloud standards for connectivity, monitoring, security, and deployment. Experience with Azure is helpful.
Create reusable infrastructure and environment patterns with Terraform and Terragrunt; use Git workflows, CI/CD pipelines, code review, and policy checks to keep deployments consistent and auditable.
Develop reusable, documented platform services and self-service deployment paths that simplify application onboarding, access, secrets, configuration, telemetry, and repeatable environment creation for engineering teams.
Build quality and safety into infrastructure and application delivery through automated validation of Terraform changes, secrets controls, policy checks, deployment testing, and rollback procedures.
Use cloud asset and infrastructure as code tools such as Firefly to improve inventory, IaC coverage, drift awareness, and conversion of unmanaged resources into governed code.
Evaluate AI coding and engineering assistants such as Cursor, Claude, Gemini Enterprise, and Codex for infrastructure code, reviews, documentation, troubleshooting, and automation; measure useful outcomes and require human review and approved data handling.
Partner with DeepHealth Platform/DevOps, Cloud Operations, and product teams on RadNet-facing environments, container platforms, release dependencies, cloud connectivity, and application scaling.
Work with application owners to establish production readiness through capacity testing, dependency mapping, service monitoring, alerts, runbooks, escalation paths, and clear response plans.
Lead SRE and cloud operations practices for the platforms in scope, including service objectives, capacity and load testing, alert quality, incident triage, root cause analysis, recovery, and reduction of recurring issues and manual work.
Engineer hybrid connectivity between RadNet datacenters and GCP using Dedicated Interconnect, Cloud Router and BGP, HA VPN, Private Service Connect, and related routing and DNS patterns.
Use Google Cloud Operations, Datadog, and AI assisted investigation tools such as NeuBird to correlate telemetry, improve troubleshooting, and turn incident findings into engineering changes.
Coordinate with cybersecurity on least-privilege access, secrets, vulnerability remediation, policy controls, and compliant handling of sensitive healthcare data.
You Are
Genuinely passionate about customer service and exercise sound judgement and an ability to remain professional in all situations
Able to demonstrate high level of attention to detail, excellent organizational skills and have the ability to multitask
Able to thrive in a fast-paced environment, have a knack for prioritizing work with a structured approach, and enjoy providing world class customer service
To Ensure Success In This Role, You Must Have
Comprehensive hands-on experience designing, building, and operating production workloads and shared infrastructure on Google Cloud Platform, with sound architectural judgment across core GCP services.
Experience leading onshore and offshore engineers, mentoring direct employees, managing outsourced resources, and holding delivery partners accountable for results.
Hands-on knowledge of GCP IAM, VPC networking, hybrid connectivity, DNS, GKE or Kubernetes, Compute Engine, Cloud Run, Cloud SQL, Cloud Storage, logging, monitoring, and security controls.
Experience managing multi-cloud engineering in GCP and AWS, with hybrid infrastructure, network routing, private connectivity, and enterprise production support.
Experience with Terraform and Terragrunt, Git workflows, CI/CD, code review, automated testing, and policy controls for multiple environments.
Practical scripting and API integration experience, such as Python or a comparable language, for cloud automation and troubleshooting.
Ability to lead SRE and cloud operations practices, including observability, incident response, root cause analysis, runbooks, and performance improvement.
Familiarity with responsible use of AI assisted engineering tools and the review, security, and data handling practices needed for their use.
Experience using cost and capacity data to improve cloud design and operations.
Bachelor’s degree in a related field or equivalent professional experience.
We Offer
Comprehensive Medical, Dental and Vision coverages.
Health Savings Accounts with employer funding.
Wellness dollars
401(k) Employer Match
Free services at any of our imaging centers for you and your immediate family.
Pay Range: $130,000.00 - $170,000.00 per year
