Senior DevOps AI Engineer
Tasks
- Automate infrastructure provisioning and configuration
- Build and maintain cloud infrastructure
- Build investigation state machine logic
- Build regression test framework for AI agent
- Collaborate with engineering and security teams
- Create accuracy and speed metrics for prompt improvements
- Deploy and manage microservices with Kubernetes
- Develop AI SRE agent for incident investigation
- Generate embeddings and store in vector database
- Handle incidents and perform on call response
- Implement CI/CD pipelines and release workflows
- Implement LLM knowledge capture and summarization
- Implement runbook execution and customer impact agents
- Ingest Zoom transcription and update knowledge context
- Operate production systems and perform capacity planning
Perks/Benefits
Skills/Tech-stack
AWS | Agent systems | Ansible | ArgoCD | Asyncio | CI/CD | Cloud DNS | Cloud SQL | Compute Engine | Consul | Dagster | Databricks | Elasticsearch | Embeddings | GCP | GCS | GKE | GitLab CI | GitLab CI/CD | Helm | Incident Response | Jira | Kafka | Kong | Kubernetes | LLM API | Multi-Agent | Multi-Agent Systems | Notion API | Observability | PGVector | PostgreSQL | PubSub | Python | SQL | SRE | ScyllaDB | Sentry | Task Queues | Terraform | Terragrunt | Test-Driven | Test-Driven Development | Tool use | VPC | Vault | Vector Search
Education
Roles
AI | AI Engineer | DevOps | DevOps Engineer | Engineer | SRE | SRE Engineer
Regions
Countries
States
Cities
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