IND Staff Engineer, Reliability
India GCC-Puppalaguda Village
INR 3000K-5000K (estimate) Senior-level Full Time
Tasks
- Automate deployment pipelines for model updates
- Automate incident detection and remediation
- Build observability for AI metrics logs traces
- Contribute to architecture reviews for reliability
- Create runbooks for AI failure modes
- Define SLO SLI SLA for AI systems
- Define production-readiness criteria
- Design high availability architectures
- Detect anomalies and proactively alert
- Establish on call rotations and escalation procedures
- Implement circuit breakers retry logic fallback models
- Implement dashboards and alerting for AI health
- Implement infrastructure as code with Terraform
- Lead incident response and war rooms
- Maintain operational documentation runbooks playbooks SOPs
- Monitor LLM provider dependencies and automate failover
- Operate and scale cloud native AI infrastructure
- Own production AI reliability
- Set up disaster recovery and backup restore testing
Perks/Benefits
- N/A
Skills/Tech-stack
Anomaly Detection | ArgoCD | Auto Scaling | Automated rollback | Backups | CI/CD | Circuit Breaker | Containerization | DNS | Datadog | Disaster Recovery | GitHub Actions | Grafana | Incident Response | Infrastructure as Code | Jenkins | Kubernetes | Load Balancing | Logging | Metrics | Networking | Observability | Prometheus | Python | Rate Limiting | Reliability Engineering | Restore | Retry logic | SLA | SLI | SLO | Security | Site Reliability | Site Reliability Engineering | Splunk | TLS | Terraform | Tracing | “as-code”
Education
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