> Markdown version of [/jobs/ext/61511-cloud-platform-engineer-terraform-github-azure-ai](https://www.wearedevelopers.com/jobs/ext/61511-cloud-platform-engineer-terraform-github-azure-ai). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

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# Cloud Platform Engineer (Terraform/Github/Azure AI)

- **Company:** Akaasa Technologies
- **Location:** Charlotte, NC, United States
- **Experience:** Expert
- **Salary:** $260,000.0 - $295,360.0
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, Artificial Intelligence, Data Analysis, User Authentication, Microsoft Azure, Cloud Computing, Cloud Computing Security, Databases, Continuous Integration, DevOps, Domain Name System (DNS), Github, Monitoring of Systems, Python (Programming Language), Role-Based Access Control, Reliability Engineering, Cloud Services, Azure Machine Learning, Search Technologies, Software Engineering, Data Logging, Scripting, Google Cloud, Load Balancing, Cloud Platform System, Large Language Models, Firewalls (Computer Science), Kubernetes, Infrastructure Automation Frameworks, Virtual Agents, Terraform
- **Published:** May 14, 2026
- **Apply:** https://www.careerjet.com/jobad/usde10b025a9e25b7b8c37efb04d2f2898

## About the Role

1. IaC tools Terraform and GitHub exp
 2. Need to understand control policies
 3. More Microsoft Azure exp is preferred but also Google Cloud Platform (GCP) is ok too
 4. Demonstrated experience on at least three of the following key services: Azure AI Foundry, Azure Machine Learning, Document Intelligence, Azure AI Search, Vertex AI, 5+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
3+ years working with Google Cloud Platform (GCP) and/or Microsoft Azure and a proven track record of building complex infrastructure programmatically with Infrastructure as Code (IaC) tools
2+ years of hands-on experience with IaC tools Terraform and GitHub
Knowledge and understanding of Cloud service offerings such as Compute and AI & ML on GCP and/or Azure
Demonstrated experience on at least three of the following key services: Azure AI Foundry, Azure Machine Learning, Document Intelligence, Azure AI Search, Vertex AI, Document AI, LLMs, etc.
Desired Qualifications:
Exposure to Cloud governance and logging/monitoring tools
Cloud certification on GCP and/or Azure
Experience with Agile, CI/CD, DevOps concepts, and Site Reliability Engineer (SRE) principles
Proficient on container-based solution services, have handled 2-3 large scale Kubernetes based infrastructure build out, provisioning of services in Azure or GCP
Experience in scripting (Shell, Python)
Understanding of Azure cloud service offerings such as AI Foundry
Understanding of GCP cloud service offerings such as Agentspace, NotebookLM, Agent Engine
Understanding of Agentic AI frameworks such as ADK, A2A, MCP, LangChain, etc.
Good understanding of networking, firewalls, load balancing concepts (IP, DNS, Guardrails, Vnets) and exposure to database, cloud security, AD, authentication methods, RBAC
Knowledge and understanding of Cloud service offerings on Security, Data Protection and Security policy implementations
Intermediate understanding of Cloud computing concepts like landing zone and Blueprints
Excellent verbal, written, and interpersonal communication skills
Ability to articulate technical solutions to both technical and business audiences
Ability to deliver & engage with partners effectively in a multi-cultural environment by demonstrating co-ownership & accountability in a matrix structure
Delivery focus and willingness to work in a fast-paced, enterprise environment

## Description

Lead complex technology Cloud initiatives including those that are companywide with broad impact
Act as a key contributor in automating the provisioning of Cloud Infrastructure using Infrastructure as a Code (IaC)
Make decisions in developing standards and best practices for engineering and large-scale technology solutions
Design, optimize, and document the engineering aspects of the Cloud platform
Lead and share understanding of industry best practices and how new technologies influence the Cloud technology team to meet deliverables and drive new initiatives
Review and analyze complex, large-scale technology solutions in Cloud for strategic business objectives and solving technical challenges that require in-depth evaluation of multiple parameters, including intangibles or unprecedented technical factors
Collaborate and consult with key technical experts, senior technology team, and external industry groups to resolve complex technical issues and achieve goals
Build and enable Cloud infrastructure, automate the orchestration for Google Cloud Platforms (GCP) & Microsoft Azure for Wells Fargo Enterprise
Working in a globally distributed team to provide innovative and robust Cloud centric solutions
Closely work with Product Team and vendors to develop and deploy Cloud services to meet customer expectations
Gather and analyze data to diagnose the root cause of Cloud issues, recommend, and implement solutions to resolve issues in timely manner, As a pivotal DevOps Engineer, you will architect, implement, and optimize scalable infrastructure solutions across dynamic cloud environments. This role is essential for driving wo…

 + 11 days ago
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