Senior AI DevOps Developer
Tasks
- Automate AI powered development on call and agentic workflows
- Build and improve CI CD pipelines for AI development workflows
- Collaborate with engineering teams to translate workflows into technical solutions
- Create infrastructure as code for containerized deployments and continuous delivery
- Design and operate internal AI platform ecosystem
- Develop versioning cost tracking monitoring testing and rollback strategies for AI services
- Establish AI usage policies guardrails and responsible AI practices
- Implement access controls and data handling security safeguards
- Implement model prompt and evaluation deployment processes
- Integrate Amazon Bedrock and AI agents into secure scalable environments
- Lead AI platform architecture discussions and evaluate design trade offs
- Participate in on-call rotation
- Set up monitoring and observability for health performance usage and reliability
- Support AI office hours and technical knowledge sharing
- Troubleshoot incidents and perform root-cause analysis
Perks/Benefits
- Collaborative culture
- Equity or bonus opportunities
- Professional growth opportunities
- Remote work within Canada
- Work on cutting edge AI and cloud projects
Skills/Tech-stack
AI Agents | API Integration | Access Control | Amazon Bedrock | Argo CD | Artifact management | Artifactory | CI/CD | Cause analysis | Containerization | Context Management | Embeddings | Evaluations | Git | Go | Grafana | Groovy | InfluxDB | Infrastructure as Code | Jenkins | Kubernetes | Linux | Monitoring | Observability | OpenSearch | Prometheus | Prompt engineering | Python | RAG Security | REST APIs | Reranking | Retrieval-Augmented Generation | Root Cause Analysis | Root cause | Security Reviews | Structured outputs | Terraform | Tool use | Vector Search | Zabbix | “as-code”
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