AI Site Reliability Engineer
- Source: LinkedIn
- Teamware Solutions
- On-site
- Hyderabad
- Full-Time
- Mid level
Job Description
Role: AI Site Reliability Engineer
Notice Period: Immediately to 15 days
Experience: 7–10 Years
Location: Bangalore and Hyderabad
Key Skills:
• Site Reliability Engineering (SRE) / DevOps
• Python / Go / Bash / PowerShell
• Kubernetes & Docker
• Linux, Networking, API Gateways & IAM
• Azure / AWS / Google Cloud
• CI/CD, GitOps & Infrastructure as Code
• Prometheus, Grafana, OpenTelemetry, Datadog, Splunk
• MLOps / LLMOps
• Generative AI, RAG & AI Agents
• LLM APIs, Vector Databases & AI Evaluation
• Incident Management & Root Cause Analysis
• Terraform / Jenkins / Azure DevOps / GitHub Actions
Good to Have:
Azure AI Foundry / Azure OpenAI, AWS Bedrock / SageMaker, Google Vertex AI, MLflow, Kubeflow, LangChain, LangGraph, Semantic Kernel, Azure AI Search, OpenSearch, Elasticsearch, Pinecone, Weaviate, Qdrant or pgvector.
Skills
- Python
- Golang
- powershell
- Kubernetes
- Docker
- microsoft-azure
- amazon-web-services
- google-cloud-platform
- Prometheus
- Grafana
- opentelemetry
- datadog
- splunk
- root-cause
- Terraform
- Jenkins
- azure-devops
- Github
- github-actions
- openai
- bedrock
- amazon-sagemaker
- vertex
- ml-flow
- mlflow
- kubeflow
- LangChain
- LangGraph
- azure-search
- opensearch
- Elasticsearch
- qdrant
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