Launch Darkly is looking to achieve zero downtime, reduce production incidents, improve change failure rate metrics, and enable full automation for their feature flags, A/B testing, and progressive rollouts on AWS
Requirements
- AWS experience
- Prior experience in leading implementation and roll out to application teams at large scale
- Knowledge of feature flags, A/B testing, progressive rollout, and support for deployment patterns across APIs, EKS, OnPrem, Lambdas, and other AWS services
- Experience with GitHub Actions integration, dynamic runners, and golden path patterns for EKS, Lambda, and OnPrem
- Knowledge of Kafka, Glue, RDS, S3, and other AWS services
- Experience with Grafana, Splunk, and DORA metrics
- Knowledge of security best practices, including secure artifact storage, RBAC, audit logging, and vulnerability scanning
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
- Bachelor's degree in Computer Science or related field (not explicitly mentioned but implied)
