Job Description
We are seeking an experienced AWS DevOps Engineer with AI/ML expertise to join our team in Alpharetta, GA. The ideal candidate will be responsible for designing, implementing, and managing cloud-native infrastructure, CI/CD pipelines, containerized applications, and AI/ML deployment platforms in AWS.
Required Skills
- 9+ years of experience in DevOps, Cloud Engineering, or Platform Engineering
- Strong hands-on experience with AWS Cloud Services (EC2, EKS, ECS, Lambda, S3, IAM, VPC, CloudWatch)
- Expertise in Terraform, CloudFormation, and Infrastructure as Code (IaC)
- Experience with Docker, Kubernetes (EKS), Helm
- Strong experience in CI/CD tools such as Jenkins, GitHub Actions, AWS CodePipeline, and CodeBuild
- Proficiency in Python scripting and automation
- Experience supporting AI/ML workloads using Amazon SageMaker, Amazon Bedrock, or similar AI platforms
- Knowledge of MLOps/LLMOps concepts, model deployment, monitoring, and automation
- Experience with monitoring tools such as CloudWatch, Prometheus, Grafana, and Splunk
- Strong understanding of security best practices, IAM, Secrets Management, and DevSecOps
- Experience with Git, Agile methodologies, and release management
Preferred Skills
- Experience with Generative AI, RAG, Vector Databases, and AI Agents
- Knowledge of MCP (Model Context Protocol)
- Experience with ServiceNow integrations
- AWS Certifications preferred
Responsibilities
- Design and implement scalable AWS cloud infrastructure
- Develop and maintain CI/CD pipelines for cloud and AI/ML applications
- Deploy and manage containerized applications on Kubernetes/EKS
- Automate infrastructure provisioning using Terraform and CloudFormation
- Support MLOps/LLMOps pipelines for AI model deployment and monitoring
- Implement observability, logging, and monitoring solutions
- Collaborate with development, data engineering, and AI teams to deliver reliable cloud solutions
- Ensure security, compliance, and operational excellence across environments