The Entry-Level Cloud Engineer will support the State of Michigan’s cloud architecture and engineering teams in designing, deploying, and maintaining cloud-based solutions across public, private, and hybrid environments. This role is ideal for early‑career technologists who have foundational cloud knowledge and are eager to grow into a full cloud engineering or cloud architecture role.
The engineer will assist senior architects in understanding business objectives, developing solution concepts, performing proof‑of‑concepts, and implementing cloud technologies that improve delivery, automation, and operational efficiency
Skill Matrix:
Required
Cloud Delivery Analyst / Business Analyst
1-3 years
Knowledge of concepts of designing and developing dynamic Cloud solutions in Google Cloud Platform and Amazon Web Services and moving parts involved in continuous integration and delivery.
1-3 years
Experience with Tooling and Automation to enable seamless automation of infrastructure provisioning and configuration.
Highly Desirable
Pipeline Design and Architecture to improve development flow and delivery.
Highly Desirable
Solid understanding and skill with DevOps, web services and application programming interfaces (APIs).
1-3 years
Create, maintain, and troubleshooting skills for cloud infrastructure
Highly Desirable
Foundational institutional knowledge of State of Michigan platforms, cloud architecture, security requirements and processes.
1-3 years
Cloud security and compliance experience
Highly Desirable
Certification(s):
Google – Cloud Certified Cloud Digital Leader
AWS – Certified Cloud Practitioner
Highly Desirable
Core Competencies
· Other desired skills: Containerization, Linux, Database skills, security and recovery, web services and applications programming interfaces (APIs)
Core Tasks
· Assist senior cloud architects with the design and deployment of cloud solutions across the State of Michigan AWS, and GCP environments.
· Support the build‑out of multi‑cloud environments, including public, private, and hybrid cloud models.
· Help maintain and troubleshoot cloud infrastructure components.
· Contribute to the development and maintenance of CI/CD pipelines.
· Assist with infrastructure provisioning and configuration using automation tools.
· Participate in integrating cloud pipelines with existing DevOps systems.
· Document architecture decisions, pipeline configurations, and deployment procedures.