Dominio
DevOps & CI/CD
Perfil de habilidad
Feature toggles, gradual rollout, A/B testing, Unleash/LaunchDarkly
Roles
8
donde aparece esta habilidad
Niveles
5
ruta de crecimiento estructurada
Requisitos obligatorios
20
los otros 16 opcionales
DevOps & CI/CD
Release Management
17/3/2026
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La tabla muestra cómo crece la profundidad desde Junior hasta Principal.
| Rol | Obligatorio | Descripción |
|---|---|---|
| AI Product Engineer | Understands the fundamentals of Feature Flags. Applies basic practices in daily work. Follows recommendations from the team and documentation. | |
| Backend Developer (Python) | Understands what feature flags are and why they're needed. Can check a flag in code (if feature_enabled). Uses existing flags. | |
| DevOps Engineer | Understands feature flag concept: enabling/disabling functionality without deployment. Uses flags in code by instruction, knows basic types (boolean, percentage). Works with LaunchDarkly/Unleash dashboard to view flags. | |
| DevSecOps Engineer | Studies feature flag concepts: toggle, rollout, experiment. Uses LaunchDarkly or Unleash for feature management. Configures kill switches for quickly disabling problematic features. Understands feature flags relation to safe deployment: canary releases, dark launches without user risk. | |
| Platform Engineer | Obligatorio | Uses feature flags (LaunchDarkly, Unleash) for controlled rollout of platform features. Creates boolean and multivariate flags. Understands targeting rules and percentage-based rollout. Participates in cleanup of stale flags following team instructions. |
| Release Engineer | Knows basic feature flag concepts for release engineering and can apply them in typical tasks. Uses standard tools and follows established team practices. Understands when and why this approach is applied. |
| Rol | Obligatorio | Descripción |
|---|---|---|
| AI Product Engineer | Implements feature flags for controlled rollout of AI-powered features using LaunchDarkly or Unleash. Manages flag lifecycle from creation to cleanup. Uses percentage-based rollouts to validate ML model changes in production with real user traffic. | |
| Backend Developer (Python) | Creates and manages feature flags (Unleash/LaunchDarkly). Uses for gradual rollout (1% → 10% → 100%). Designs A/B tests through flags. Removes old flags (cleanup). | |
| DevOps Engineer | Implements feature flags in CI/CD: LaunchDarkly/Unleash/Flagsmith integration, flag management through API. Configures percentage rollout, A/B testing, targeting rules. Automates flag lifecycle: creation on deploy, cleanup of stale flags. | |
| DevSecOps Engineer | Introduces feature flag management in production with LaunchDarkly/Unleash. Implements percentage rollouts and targeted releases by user segments. Configures feature flags for A/B testing. Manages technical debt: feature flag lifecycle with enforced cleanup. Integrates flags with monitoring for correlation. | |
| Engineering Manager | Uses feature flags to coordinate cross-team releases and reduce deployment risk. Configures flag-based A/B testing to validate product hypotheses with data. Manages flag ownership and ensures timely cleanup of stale flags to prevent technical debt accumulation. | |
| Platform Engineer | Obligatorio | Integrates feature flag system into the platform: SDK configuration for microservices, server-side evaluation. Configures segmentation and A/B testing. Creates standard flag usage patterns for teams. Implements observability for feature flag impact analysis. |
| Release Engineer | Confidently applies feature flags for release engineering in non-standard tasks. Independently selects the optimal approach and tools. Analyzes trade-offs and proposes improvements to existing solutions. | |
| Technical Lead | Integrates feature flags into the team's development workflow for trunk-based development. Implements flag-driven canary releases and progressive delivery strategies. Establishes naming conventions and flag categorization. Monitors flag impact on system performance and user metrics. |
| Rol | Obligatorio | Descripción |
|---|---|---|
| AI Product Engineer | Obligatorio | Designs feature flag architectures for complex AI product rollouts with multi-variant experimentation. Implements flag-based model switching for gradual ML pipeline migrations. Builds automated guardrails that auto-disable flags when model quality metrics degrade below thresholds. |
| Backend Developer (Python) | Designs feature flag strategy for the team. Configures targeting rules (user segments, percentages). Integrates with monitoring to track impact. Designs kill switches for critical features. | |
| DevOps Engineer | Obligatorio | Designs feature management strategy: architecture for progressive delivery with flags, ArgoCD/Argo Rollouts integration. Implements canary releases through percentage flags, configures observability for evaluating feature impact on metrics. |
| DevSecOps Engineer | Obligatorio | Designs feature management strategy for the organization. Introduces feature flags as part of CI/CD: trunk-based development with feature flags instead of long-lived branches. Develops SDK wrappers for standardized usage. Configures audit trail for compliance. Implements feature flag as code through Terraform. |
| Engineering Manager | Obligatorio | Designs organization-wide feature flag governance including ownership policies, lifecycle management, and audit trails. Implements flag-driven release coordination across multiple teams and services. Establishes metrics-based automated rollback triggers and progressive delivery standards. |
| Platform Engineer | Obligatorio | Designs feature flag infrastructure as part of IDP: self-hosted solution (Unleash, Flagsmith), CI/CD integration. Creates automatic flag lifecycle management. Implements feature flags for infrastructure rollout: canary config changes, gradual migration. |
| Release Engineer | Expertly applies feature flags for release engineering to design complex systems. Optimizes existing solutions and prevents architectural mistakes. Conducts code reviews and trains colleagues on best practices. | |
| Technical Lead | Obligatorio | Architects scalable feature flag infrastructure supporting thousands of flags with low-latency evaluation. Designs flag dependency graphs to prevent conflicting configurations. Implements server-side and client-side flag SDKs with local caching and streaming updates for real-time targeting. |
| Rol | Obligatorio | Descripción |
|---|---|---|
| AI Product Engineer | Obligatorio | Defines feature flag strategy for AI product portfolio enabling safe experimentation at scale. Establishes standards for flag-driven A/B testing of ML models with statistical rigor. Coordinates cross-product flag governance and ensures compliance with data privacy regulations in flag targeting. |
| DevOps Engineer | Obligatorio | Defines organizational feature management standards: flag governance, mandatory metadata, review processes. Designs progressive delivery platform integrating feature flags, monitoring and automated SLO-based rollback. |
| DevSecOps Engineer | Obligatorio | Defines corporate Progressive Delivery strategy with feature flags. Manages feature management platform for all teams. Builds governance processes: naming conventions, mandatory expiration, security review for sensitive flags. Integrates feature flags with incident response for rapid mitigation. |
| Engineering Manager | Obligatorio | Defines enterprise feature flag strategy aligned with release management and product delivery goals. Establishes flag hygiene standards with automated stale flag detection and cleanup enforcement. Drives adoption of progressive delivery culture across engineering teams and measures its impact on deployment frequency. |
| Platform Engineer | Obligatorio | Defines organizational feature management strategy: governance, naming conventions, audit trail. Leads progressive delivery adoption through flags for all teams. Designs impact analytics and automatic rollback based on metrics when SLI degrades. |
| Release Engineer | Establishes feature flag standards for the release engineering team and makes architectural decisions. Defines the technical roadmap considering this skill. Mentors senior engineers and influences practices of adjacent teams. | |
| Technical Lead | Obligatorio | Defines technical standards for feature flag platforms across the engineering organization. Establishes flag evaluation performance SLAs and reliability requirements. Drives adoption of flag-based testing strategies including dark launches and shadow traffic. Reviews flag architectures for complex cross-service features. |
| Rol | Obligatorio | Descripción |
|---|---|---|
| AI Product Engineer | Obligatorio | Shapes organizational strategy for experimentation and controlled rollout of AI capabilities across all products. Designs next-generation feature management platforms integrating ML-driven targeting and automated experiment analysis. Influences industry practices in progressive delivery for AI systems. |
| DevOps Engineer | Obligatorio | Develops organizational progressive delivery strategy: unified feature management platform, experimentation standards (A/B, multivariate). Defines architecture for safe deployment of any changes with automatic rollback on metric degradation. |
| DevSecOps Engineer | Obligatorio | Architecturally defines enterprise Progressive Delivery approach. Designs feature management as part of deployment strategy: feature flags + canary + blue-green. Defines secure feature flag usage standards. Develops deployment practices maturity assessment framework for the organization. |
| Engineering Manager | Obligatorio | Shapes the organizational engineering culture around safe, data-driven releases using feature flags as a core practice. Designs internal developer platforms with integrated feature management capabilities. Drives industry-level contributions to progressive delivery methodologies and tooling standards. |
| Platform Engineer | Obligatorio | Shapes vision for progressive delivery platform: feature flags + canary + observability as unified release management. Defines experimentation platform strategy. Evaluates AI-driven feature rollout with automated impact analysis and decision-making. |
| Release Engineer | Shapes feature flag strategy for release engineering at the organizational level. Defines best practices and influences technology choices beyond their own team. Is a recognized expert in this area. | |
| Technical Lead | Obligatorio | Defines the organization's DevOps strategy. Designs internal developer platform. Shapes engineering excellence culture. |