Matlen Silver
Junior DevOps Engineer/Cloud Engineer
Matlen Silver, Alpharetta, Georgia, United States, 30239
Junior DevOps Engineer / Cloud Engineer
Location: Alpharetta, GA (Fully on-site)
Duration: 1 year + contract
Responsibilities
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
Qualifications
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
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
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Duration: 1 year + contract
Responsibilities
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
Qualifications
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
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
#J-18808-Ljbffr