Role overview

Responsibilities

Lead design and create a highly efficient, metrics-driven, DevOps working model.
Support a Google Cloud Platform (GCP) Project and multiple environments deploying industry-grade Machine Learning and AI models.
Design and deploy critical infrastructure and networking via Infrastructure as Code (IaC) and orchestrate backing services through Kubernetes.
Responsible for continuous iteration and delivery of models, IaC, and backend services, and build a robust pipeline in GCP Cloud Build.

Key facts

Remote from: Virginia (USA)
Full time
DevSecOps Engineer
English

Hard skills

DevOps Google Cloud Platform (GCP) Kubernetes Infrastructure as Code (IaC) Machine Learning Artificial Intelligence Google Cloud Build

About the company

Georgia IT, Inc.

Georgia IT, Inc. provides IT Consulting for a wide range of IT services and custom build turn-key enterprise solutions. GIT specializes in improving business scalability and efficiency through BSM and SBA Solutions. GIT transforms business with service management and service automation solutions. We are BMC & HP partners. GIT Services include custom built enterprise software and customer-centric web portals, network design and implementation, remote and site-to-site VPN, network and server security assessment and setup, server and desktop virtualization, and many others. GIT also provides IT Consulting in many areas such as Disaster Recovery Planning, Enterprise Data Backup Strategy, Long Term Strategic IT Planning and Augmentation Professional Services Solutions. Professional Services Specialties: Business Process Integration, Software Integration & Development, Web portal, Networking, Remote and site-to-site VPN, Virtualization Solutions, Product Development Please contact us Hrus@georgiait.com / uthay@georgiait.com/470-798-5000 x 1010 / (732) 890-2535 direct

Company details

Company size51 - 200

Links

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Job description

DevSecOps Engineer
Duration: 3+ Months CTH
Location: Remote

JOB DESCRIPTION :

Responsible for leading design and creating a highly efficient, metrics-driven, DevOps working model.
Support a Google Cloud Platform (GCP) Project and multiple environments where we are deploying industry-grade Machine Learning and Artificial Intelligence (Client/AI) models; at scale, across high compute, and reliant on big-data services.
The critical infrastructure and networking are designed & deployed via Infrastructure as Code (IaC), and backing services orchestrated through Kubernetes (deployed via Helm).
You will be responsible for continuous iteration and continuous delivery of models, IaC, and backend services, as well as building a robust pipeline in GCP Cloud Build.