Senior DevOps / Infrastructure & AI LLM Systems Engineer (Hybrid)
Tasks
- Build CI/CD pipelines
- Build LLM evaluation pipelines and A B tests
- Deploy and manage release systems
- Implement observability monitoring logging
- Improve API performance and throughput
- Improve LLM latency reliability and cost using routing
- Improve reliability and uptime
- Manage Kubernetes clusters
- Manage and optimize LLM deployments
- Optimize cloud cost and performance
- Optimize prompts and agent routing
- Own cloud infrastructure
- Prototype self-hosted model experiments
- Run incident response and on call
- Scale Redis and Sidekiq job queues
- Secure cloud infrastructure using IAM and secrets
- Tune PostgreSQL performance and indexes
Perks/Benefits
Skills/Tech-stack
A/B | A/B Testing | AWS | Anthropic API | Azure | Azure OpenAI | B testing | CI/CD | Docker | GCP | GitHub Actions | IAM | Incident Response | Kubernetes | LLM Evaluation | LLM routing | Logging | Monitoring | Observability | On-Call | OpenAI API | PostgreSQL | Python | Redis | Ruby | Secrets management | Sidekiq | Terraform
Education
N/A
Roles
AI | AI Systems Engineer | Cloud Engineer | Cloud) | DevOps | DevOps Engineer | Engineer | Infrastructure | Infrastructure Engineer | Systems Engineer
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