Aklip Technologies

Launch Darkly Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a "Launch Darkly Engineer" based in Fort Mill, SC and Charlotte, NC, with a contract length of 12+ months. Key skills include experience with Launch Darkly, A/B testing, AWS services, and CI/CD automation.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
October 24, 2025
🕒 - Duration
More than 6 months
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
South Carolina, United States
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🧠 - Skills detailed
#Migration #Compliance #Automation #Storage #Logging #AWS (Amazon Web Services) #Lambda (AWS Lambda) #Kafka (Apache Kafka) #Scala #Security #S3 (Amazon Simple Storage Service) #Observability #Triggers #Grafana #RDS (Amazon Relational Database Service) #Splunk #A/B Testing #GitHub #Cloud #Deployment
Role description
Role: Launch Darkly Engineer Location: Fort Mill, SC and Charlotte, NC Duration:12+Month This person must have prior experience in leading this implementation and roll out to application teams at large scale. Launch Darkly Feature Flags with Progressive rollouts, A/B Testing with Zero Downtime & Full Automation This document outlines the comprehensive requirements for vendor partners to support initiatives aimed at achieving zero downtime, reducing production incidents, improving change failure rate metrics, and enabling full automation. The scope includes feature flags, A/B testing, progressive rollout, and support for deployment patterns across APIs, EKS, OnPrem, Lambdas, and other AWS services. Functional Scope Zero Downtime Deployments Implement blue/green or canary deployment models with seamless traffic switching, rollback capability, and session persistence. Change Failure Rate Reduction Integrate root cause tracking, automated rollback, and pre-deployment validation pipelines. Feature Flags Enable real-time toggling, secure access control, and auditability. Must support both server-side and client-side toggles. A/B and B/G Testing Support traffic segmentation, real-time metrics, rollback, and privacy compliance. Progressive Rollouts Automate staged rollouts by region, user cohort, or environment. Include rollback triggers based on metrics. Automation & CI/CD Full GitHub Actions integration, dynamic runners, and golden path patterns for EKS, Lambda, and OnPrem. Environment Patterns Support for APIs, EKS, OnPrem, Lambdas, Kafka, Glue, RDS, S3, and other AWS services. Observability & Metrics Integrate with Grafana, Splunk, and DORA metrics (lead time, change frequency, failure rate, MTTR). Self-Service Enablement & Onboarding/Migration support for feature flags Empower teams with Express Lane-style pipelines, role-based access, and audit trails. Expected Outcomes - Pilot with at least 5 teams by Nov’2025 - We need 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 - Full automation and governance for E2E feature flag lifecycle management Non-Functional Requirements (NFRs) Performance Low-latency toggling, fast rollback, <4 min deployment time. Security Secure artifact storage, RBAC, audit logging, vulnerability scanning. Scalability Support for multi-region, multi-tenant deployments; dynamic scaling of runners. Resilience Chaos testing, fault injection, recovery time objectives (RTOs). Compliance Tagging enforcement, cost visibility, and privacy compliance for A/B testing, BlueGreen, Flags