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Google Cloud (Google Cloud Platform) Engineer/Architect - Columbus, OH. Need only locals of Columbus, Ohio.

Neumeric Technologies Corporation
Columbus, OH Full Time
POSTED ON 3/5/2025
AVAILABLE BEFORE 5/5/2025

Job Details

Need only locals of Columbus, Ohio who can able to work at onsite 5 days in a week.

Job Details:

Position: DYS-Product Specialist 5 / PS 5 (Google Cloud Engineer/Architect) (758841)

Location: William Green Building, 30 West Spring Street, Columbus, OH 43215 (Onsite, all 5 days in a week)

Duration: Long-Term

Mode of Interview: Video Call

Client: State of Ohio - Ohio Department of Youth Services (DYS)

Job Description:

Google Cloud Engineer/Architect.

Onsite, all 5 days in a week.

Job Title: Product Specialist 5

This position requires being on-site Monday Friday, hours 7 4, but hours are flexible.

About the Role:

We are seeking a highly motivated experienced Google Cloud Engineer/Architect to lead our cloud transformation initiatives. You will be working with a small team of developers and play a critical role in modernizing our applications, implementing robust data analytics solutions, and exploring the potential of AI/ML to enhance our services. This is an opportunity to make a real difference in the lives of Ohioans.

Qualifications:

9plus years' experience with software design, architecture, software development lifecycle methodologies, including modernizing legacy applications and application performance, profiling, and tuning.

5plus years Google Cloud Platform (Google Cloud Platform) expertise.

Responsibilities

Design, develop, and deploy cloud-native solutions on Google Cloud Platform (Google Cloud Platform) to support data analytics, application modernization, and AI/ML initiatives. Migrate legacy applications to modern cloud architectures using services like Compute Engine, Kubernetes Engine(GKE), App Engine, and Cloud Functions. Build and maintain scalable data pipelines using BigQuery, Dataflow, and Dataproc.

Develop and deploy machine learning models using Vertex AI, including AutoML and custom model training.

Implement and enforce security best practices across Google Cloud Platform services. Collaborate with stakeholders to gather requirements, present solutions, and ensure successful project delivery. Stay up to date on the latest Google Cloud Platform technologies and trends.

Works with IT Architecture staff, CIO, software developers and IT Managers designing solutions that meet the agency's requirements; assists in analysis of the solution design's business case; authors' portions of the solution business case.

Assists with planning, configuration, and extension of MS Azure DevOps, V Net, AppService, App Proxy, Pipelines, and other PaaS offerings. Works within Agile principles and methodologies.

Ensures current and/or future business process flows are defined and documented; conducts detailed alternative analyses and determines end-user requirement(s);consults with end-users, technicians, vendors, management, and others; leads design reviews; provides post-production support for applications varying in size, scope and impact to agency operations.

Develops pass/fail testing criteria; assesses overall system performance, including optimizing code and identifying and resolving peripheral software/hardware conflicts; finalizes implementation of plans, procedures, and schedules;conducts lessons learned (testing perspective) and coordinates improvements to enterprise testing processes; understands technical environments and impacts on software execution to identify environmental components to be reviewed for adequacy.

Core Services: Proficiency in Compute Engine, GKE, App Engine, Cloud Functions,BigQuery, Dataflow, Dataproc, Vertex AI.

Advanced Skills: Experience with Cloud SQL, Apigee, API Gateway, security tools (IAM,Security Command Center), networking services (VPC, Cloud Load Balancing),Terraform, or Deployment Manager.

Communication: Excellent written and verbal communication skills, with the ability to present technical information clearly to both technical and non-technical audiences.

Collaboration:Strong teamwork and interpersonal skills, with the ability to work effectively with diverse stakeholders.

Problem-Solving:Proven analytical and problem-solving abilities to troubleshoot issues and optimize cloud solutions.

Certification:Professional Cloud Architect or Professional Data Engineer strongly preferred.

Required/Desired Skills:

Skill

Required /Desired

Amount of Experience

Design, develop, and deploy cloud-native solutions on Google Cloud Platform (Google Cloud Platform) to support data analytics, application modernization, and AI/ML i

Required

Develop and deploy machine learning models using Vertex AI, including AutoML and custom model training.

Required

Implement and enforce security best practices across Google Cloud Platform services. Collaborate with stakeholders to gather requirements, present solutions

Required

Works with IT Architecture staff, CIO, software developers and IT Managers designing solutions that meet the agency's requirements

Required

Assists with planning, configuration, and extension of MS Azure DevOps, V Net, App Service, App Proxy, Pipelines, and other PaaS offerings.

Required

Ensures current and/or future business process flows are defined and documented; conducts detailed alternative analyses.

Required

Excellent written and verbal communication skills, with the ability to present technical information clearly

Required

Willing to work at onsite Columbus, OH all 5 days in a week ?

Required

(Yes/No)

--

Regards,

Vijay

Sr. Resource Coordinator

Sudhi Infomatics Inc.

Email:

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

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