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Cloud AI Engineer; Onsite in Alpharetta, GA
Job in
Alpharetta, Fulton County, Georgia, 30239, USA
Listed on 2025-12-01
Listing for:
Optomi
Full Time, Seasonal/Temporary
position Listed on 2025-12-01
Job specializations:
-
IT/Tech
AI Engineer, Cloud Computing, Systems Engineer
Job Description & How to Apply Below
Cloud AI Engineer (5x Onsite in Alpharetta, GA)
Optomi, in partnership with a major fintech company, is seeking a highly capable Cloud AI Engineer to design, build, and operate AI-enabled cloud platform capabilities that empower development teams across the enterprise. In this role you will combine cloud infrastructure, automation, infrastructure-as-code, containers/serverless and LLM/AI integrations to deliver reusable services, templates, tools, and automated workflows. We’re looking for a curious, collaborative problem‑solver who enjoys learning new technologies and working across cloud, AI, and Dev Ops domains.
Base pay range: $/yr - $/yr
Responsibilities- Design and build AI-integrated cloud services and automation frameworks on AWS or Azure.
- Develop and maintain Infrastructure-as-Code (IaC) using Terraform, Cloud Formation, or CDK to enable consistent, repeatable deployments.
- Automate provisioning, deployment, and scaling of cloud and AI resources through modern CI/CD pipelines.
- Collaborate with cross-functional teams (Platform, SRE, AI/ML, Security) to deliver secure, reliable, and scalable solutions.
- Document and share best practices through guides, templates, and technical examples for wider team adoption.
- Continuously research and apply new technologies in AI, cloud computing, and Dev Ops to improve platform efficiency and innovation.
- Extensive hands‑on experience in cloud engineering, Dev Ops, or software development roles supporting enterprise environments.
- Demonstrated ability to build and deploy infrastructure using IaC tools such as Terraform, AWS CDK, or Cloud Formation.
- Strong foundation in AWS or Azure services.
- Experience working with CI/CD pipelines (Git Hub Actions, Azure Dev Ops, Jenkins, etc.) for automated provisioning and deployment.
- Exposure to AI/ML services and APIs such as Amazon Bedrock, OpenAI, or Sage Maker, and interest in integrating AI capabilities into applications or workflows.
- Skilled in one or more programming or scripting languages—ideally Python, Type Script, or Power Shell—to automate tasks and develop reusable tooling.
- Strong problem‑solving mindset, curiosity, and ability to learn emerging AI and cloud‑native technologies quickly.
- Bonus experience with AI coding assistants (Copilot, Claude Code, Cursor) or AI-driven automation platforms (Harness, Spacelift, Opsera).
Seniority level:
Mid-Senior level
Employment type:
Full-time
Job function:
Information Technology
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