***GC and USC ONLY!!! No C2C at all!!!
Job Title: Junior Devops Engineer/ Cloud Engineer
Location: Alpharetta, GA (Fully on-site)
Duration: 1 year + contract
***GC and USC ONLY!!! No C2C at all!!!
Job Description:
As a Cloud AI Engineer you will 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 DevOps domains.
What you will do:
- Contribute to building AI/LLM-based services and platform features on public cloud
- Assist in integrating AI capabilities into cloud-native applications and platform services
- Create documentation, patterns, examples, and how-to guides
- Build IaC and automation for provisioning, deploying, and scaling AI/cloud resources
- Participate in testing, code reviews, technical discussions, and AI solution strategy
- Develop reusable templates, modules, and tools that other teams can adopt
- Collaborate with platform engineers, SREs, architects, and AI/ML specialists
- Continuously learn and apply new AI and cloud technologies
What you will need to have:
- 2+ years in a cloud engineering, software engineering, or DevOps role
- Hands-on background with at least one major cloud platform (AWS/Azure preferred)
- Solid grasp of networking, security, compute, storage, and serverless technologies
- Ability to build basic infrastructure-as-code using Terraform, CDK, or CloudFormation
- Practical use of CI/CD tools for automated deployments, provisioning, and observability
- Strong problem-solving mindset and eagerness to learn AI technologies
- Exposure to AI/ML services or APIs (e.g., Bedrock, OpenAI, SageMaker)
- Programming or scripting skills in Python, TypeScript, or similar
What would be great to have:
- Skilled in using AI coding tools (e.g., Claude Code, Copilot, Cursor, etc.)
- Proficiency in security concepts like threat modeling and policy as code
- Exposure to AI-powered release automation platforms (e.g., Harness, Spacelift, Opsera)
- Participation in hackathons, side projects, or open-source work
