The company is looking to solve the problem of achieving zero downtime, reducing production incidents, improving change failure rate metrics, and enabling full automation for Launch Darkly feature flags with progressive rollouts, A/B testing, and full automation on AWS.
Requirements
- AWS experience
- Launch Darkly feature flags experience
- Blue/green or canary deployment models experience
- Root cause tracking and automated rollback experience
- Real-time toggling and secure access control experience
- A/B and B/G testing experience
- GitHub Actions integration experience
Responsibilities
- Implement blue/green or canary deployment models with seamless traffic switching, rollback capability, and session persistence
- Integrate root cause tracking, automated rollback, and pre-deployment validation pipelines
- Enable real-time toggling, secure access control, and auditability for feature flags
- Support traffic segmentation, real-time metrics, rollback, and privacy compliance for A/B and B/G testing
- Automate staged rollouts by region, user cohort, or environment with rollback triggers based on metrics
- Integrate with Grafana, Splunk, and DORA metrics (lead time, change frequency, failure rate, MTTR) for observability and metrics
- Empower teams with Express Lane-style pipelines, role-based access, and audit trails for self-service enablement and onboarding/migration support
Other
- Pilot with at least 5 teams by Nov’2025
- Enterprise adoption ready by Nov with at least 5 Patterns inclusive of Cloud & OnPrem
- 99.9%+ availability during deployments
- 99%+ reduction in change failure rate
- Full automation of provisioning, testing, and deployment pipelines
- Travel to Charlotte, NC, Fort Mills, SC, and Auston, TX may be required
