Cloud Engineer

Milwaukee Succeeds; Milwaukee, Northern (WI, KY); Hybrid; USD 76,000 - 103,000; Full time

Benefits offered by this job

Medical, dental & vision

401(k) Retirement Plan

Life Insurance

Disability Insurance

HSA

Job summary

Milwaukee Succeeds is seeking an exceptional Cloud Engineer to design, build, administer, maintain, and optimize a growing multi-cloud infrastructure and Google Workspace ecosystem in Milwaukee, WI. You will collaborate with software and security teams to deploy highly available cloud solutions while driving productivity through Workspace optimizations.

You will work with GCP, Azure, Terraform, Ansible, and container technologies (Docker, Kubernetes) to modernize the tech footprint, enforce

Qualifications

• Bachelor's degree in Computer Science, Information Technology, Engineering, or equivalent practical experience.
• 3+ years of experience in cloud engineering, IT infrastructure, or software development.
• Proven experience administering Google Workspace, Cloud Identity, and associated enterprise collaboration tools.
• Experience with container orchestration tools and methodologies.
• Proficiency in scripting languages (e.g., Python, Bash, Go) and automation frameworks.
• Exceptional problem-solving skills with the ability to independently troubleshoot distributed systems.
• Professional and courteous communication skills to effectively collaborate with both engineering teams and non-technical stakeholders.

Responsibilities

• Implement and maintain secure cloud infrastructure (primarily GCP and Azure) using Infrastructure as Code (IaC) tools such as Terraform or Ansible.
• Administer, maintain, and optimize the Google Workspace environment (Gmail, Drive, Meet, Chat, etc.) to ensure a seamless and productive experience for end-users.
• Manage unified user provisioning, Cloud Identity, and role-based access control (RBAC) linking GCP and Google Workspace.
• Deploy, configure, and manage containerized applications utilizing Docker and Kubernetes (GKE/AKS).
• Monitor cloud performance, troubleshoot complex system issues, and optimize resource utilization for FinOps cost efficiency.
• Build, maintain, and optimize CI/CD pipelines to streamline automated deployment processes.
• Collaborate on the migration of legacy on-premise systems and applications to modern, scalable cloud architectures.
• Ensure all cloud deployments meet strict internal security standards and regulatory compliance frameworks.
• Participate in incident response and root-cause analysis to ensure high availability of critical services.

Skills

GCP

Terraform

Azure

Ansible

AWS

Docker

Kubernetes

FinOps

CI/CD

Education

Bachelor's degree (CS/IT/Engineering)

Tools

GKE

AKS

Terraform

Ansible

Docker

Kubernetes

Job description

Description

What we need: We are seeking an exceptional Cloud Engineer to design, build, administer, maintain, and optimize our growing multi-cloud infrastructure and Google Workspace ecosystem. In this role, you will collaborate with cross-functional software and security teams to deploy highly available, cost-effective cloud solutions while driving collaboration and productivity through Workspace optimizations. You will play a vital part in modernizing our technological footprint and establishing best practices for cloud adoption across our global operations.

What you’ll be doing

• Implement and maintain secure cloud infrastructure (primarily GCP and Azure) using Infrastructure as Code (IaC) tools such as Terraform or Ansible.
• Administer, maintain, and optimize the Google Workspace environment (Gmail, Drive, Meet, Chat, etc.) to ensure a seamless and productive experience for end-users.
• Manage unified user provisioning, Cloud Identity, and role-based access control (RBAC) linking GCP and Google Workspace.
• Deploy, configure, and manage containerized applications utilizing Docker and Kubernetes (GKE/AKS).
• Monitor cloud performance, troubleshoot complex system issues, and optimize resource utilization for FinOps cost efficiency.
• Build, maintain, and optimize CI/CD pipelines to streamline automated deployment processes.
• Collaborate on the migration of legacy on-premise systems and applications to modern, scalable cloud architectures.
• Ensure all cloud deployments meet strict internal security standards and regulatory compliance frameworks.
• Participate in incident response and root-cause analysis to ensure high availability of critical services.

Skills

google cloud platform, Terraform, Azure, ansible, aws, docker, kubernetes, finops, ci/cd pipelines

Top Skills Details

google cloud platform,Terraform,Azure,ansible,aws

Additional Skills & Qualifications

Soft Skills:

• Go getter not needing a lot of one on one direction
• Great communication
• Strong sense of integrity
• Desire to upskill/train on their own with resources provided

Bachelor's degree in Computer Science, Information Technology, Engineering, or equivalent practical experience.

• 1. 3+ years of experience in cloud engineering, IT infrastructure, or software development.
• 2. Exceptional working knowledge of Google Cloud Platform (GCP) or Microsoft Azure services.
• 3. Proven experience administering Google Workspace, Cloud Identity, and associated enterprise collaboration tools.
• 4. Experience with container orchestration tools and methodologies.
• 5. Proficiency in scripting languages (e.g., Python, Bash, Go) and automation frameworks.
• 6. Exceptional problem-solving skills with the ability to independently troubleshoot distributed systems.
• 7. Professional and courteous communication skills to effectively collaborate with both engineering teams and non-technical stakeholders.

Experience Level

Intermediate Level

Job Type & Location

This is a Contract to Hire position based out of Milwaukee, WI.

Pay and Benefits

The pay range for this position is $55.00 - $75.00/hr.

Individual compensation offered for this position within this range will depend on many factors, including qualifications, skills, relevant experience, job knowledge, geographic location, internal equity, and other pertinent job-related factors.

Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following:

• Medical, dental & vision
• Critical Illness, Accident, and Hospital
• 401(k) Retirement Plan - Pre-tax and Roth post-tax contributions available
• Life Insurance (Voluntary Life & AD&D for the employee and dependents)
• Short and long-term disability
• Health Spending Account (HSA)
• Transportation benefits
• Employee Assistance Program
• Time Off/Leave (PTO, Vacation or Sick Leave)

Workplace Type

This is a hybrid position in Milwaukee,WI.

Application Deadline

This position is anticipated to close on Aug 28, 2026.

Equal Opportunity Statement

The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

San Francisco Fair Chance Ordinance

Pursuant to the San Francisco Fair Chance Ordinance, for all positions located in the city and county of San Francisco, we will consider for employment qualified applicants with arrest and conviction records.

Massachusetts Lie Detector

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Use of Artificial Intelligence (AI)

We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing, screening, and evaluating candidates. AI helps assess applications and qualifications, but final decisions are made by our hiring team. By applying, you acknowledge and agree that your application may be reviewed using AI tools.