Loading...
SeniorFull-timeAWSGCPAzureKubernetesDockerTerraformRedisCI/CDGitAI
Salary Range
$26,520 - $35,880 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are looking for a GenAI DevOps Engineer to join our AI Engineering team. This role focuses on building, deploying, and maintaining the infrastructure and automation that powers our generative AI products.
Key Responsibilities
- →Design and maintain automated CI/CD pipelines for GenAI services using GitHub Actions, Azure DevOps, or Jenkins
- →Containerize GenAI services using Docker and deploy to Kubernetes clusters (AKS/EKS/GKE)
- →Deploy serverless applications using platforms like Cloud Run, AWS Lambda, or Azure Functions
- →Instrument services with key metrics (latency, throughput, error rates) and structured logs
- →Operate and optimize compute resources on Azure, AWS, or GCP
- →Use orchestration frameworks (e.g., LangGraph, LangChain, Langfuse) to automate GenAI workflows
- →Collaborate with cross-functional teams to integrate GenAI capabilities into production systems
Requirements
- ✓Experience with CI/CD tools like GitHub Actions, Azure DevOps, or Jenkins
- ✓Knowledge of containerization with Docker and orchestration with Kubernetes
- ✓Familiarity with cloud platforms (Azure, AWS, GCP)
- ✓Understanding of infrastructure-as-code tools like Terraform or CloudFormation
- ✓Experience with monitoring tools like Prometheus, Grafana, or Datadog
- ✓Strong background in DevOps best practices and automation
- ✓Ability to work with cross-functional teams and produce clear documentation
