AI DevOps Engineer (AWS)
Core
Design, build, and operate AWS cloud infrastructure to enable AI Engineers and Data Scientists to deploy, scale, and manage AI and Generative AI solutions securely and efficiently.
Role type
Senior individual contributor AI DevOps Engineer (AWS)
Builds
Scalable AWS cloud platforms, automated CI/CD pipelines, and containerized workloads for AI/ML applications
Domain
Cloud Infrastructure & AI/ML Operations
Deliverable
infrastructure
Required skills
AWS cloud services, Infrastructure as Code (Terraform, CloudFormation), CI/CD tooling, Docker, Kubernetes (EKS), Linux administration, cloud networking, Python scripting, Bash scripting, monitoring/observability tools (CloudWatch, Prometheus, Grafana, Datadog, Splunk), IAM, secrets management
Preferred skills
Microsoft Azure, Google Cloud Platform, Generative AI/LLMs, MLOps (MLflow, SageMaker, Kubeflow), vector databases, AI inference platforms, Financial Services domain experience, AWS Certified DevOps Engineer – Professional, AWS Solutions Architect
Technologies
AWS, Terraform, CloudFormation, Docker, Kubernetes, EKS, CloudWatch, Prometheus, Grafana, Datadog, Splunk, Python, Bash, MLflow, SageMaker, Kubeflow
Responsibilities
Design and maintain scalable AWS cloud infrastructure for AI platforms; Develop IaC and automated CI/CD pipelines; Deploy and optimize containerized workloads; Implement monitoring, logging, security, and governance; Collaborate with AI engineers and data scientists to improve platform engineering
Seniority
Senior, hands-on IC